280 results on '"Bagaria, A."'
Search Results
2. Effect of Oral Drug Apremilast on Histopathological Changes in Patients of Plaque Psoriasis: A Prospective Observational Study
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Yogendra Singh, Ashish Bagaria, Bhawna Bagaria, and Yogesh Gupta
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angiogenesis ,epidermal keratinocytes ,papulosquamous inflammatory disorder ,psoriasis area and severity index score ,Medicine - Abstract
Introduction: Psoriasis is a chronic non infectious recurrent papulosquamous inflammatory disorder characterised by vascular alterations such as angiogenesis, dilatation, increased endothelial venule generation, epidermal keratinocyte hyperproliferation, and aberrant differentiation, and lymphocytic invasion of T-cells. The aetiopathogenesis of disease is influenced by both hereditary and environmental factors. Pathogenesis is significantly influenced by immune dysregulation, which affects both innate and acquired immunity. A relatively recent medication for the management of moderate to severe plaque psoriasis is apremilast, an oral phosphodiesterase-4 inhibitor. Compared to other immune-suppressing drugs used in psoriasis apremilast causes no reactivation of tuberculosis or opportunistic infections, does not need dose adjustment in elderly or patients with hepatic impairment, and is not contraindicated in diabetes, ischaemic heart disease, or congestive cardiac failure. Due to its advantage of the absence of the need for laboratory monitoring, the patients on long-term methotrexate can also be switched to apremilast. Aim: To evaluate the histopathological changes in the skin of all plaque psoriatic patients treated with oral drug apremilast. Materials and Methods: This hospital-based prospective study was done in the Department of Pathology at the Rajasthan University of Health Sciences (RUHS), Jaipur, India for a period of one year from February 2020 to January 2021 comparing the efficacy of Apremilast clinically by evaluating plaque psoriasis patients’ by Psoriasis Area and Severity Index (PASI) scores. Patients of all age groups with a clinical diagnosis of psoriasis were subjected to a punch biopsy from an active lesion by a dermatologist. For histopathological examination, biopsy was taken from the lesion before starting treatment with apremilast and after four weeks of apremilast therapy. The subsequent changes in the form of histopathological score and PASI score were analysed and compared with the previous score to study the effect of oral drug apremilast. Results: Total of 100 patients enrolled in the study with the mean age 39.14 years including 59% males and 41% females. Main site of lesion was back, hand and leg. The PASI score at the first visit was 11.28 and at the second visit were 7.27 with the improvement 35.54% which was statistically significant from first visit (p-value
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- 2023
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3. A pilot trial of intravital microscopy in the study of the tumor vasculature of patients with peritoneal carcinomatosis
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Emmanuel M. Gabriel, Minhyung Kim, Daniel T. Fisher, Catherine Mangum, Kristopher Attwood, Wenyan Ji, Debabrata Mukhopadhyay, Sanjay P. Bagaria, Matthew W. Robertson, Tri A. Dinh, Keith L. Knutson, Joseph J. Skitzki, and Michael B. Wallace
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Medicine ,Science - Abstract
Abstract Aberrancies in the tumor microvasculature limit the systemic delivery of anticancer agents, which impedes tumor response. Using human intravital microscopy (HIVM), we hypothesized that HIVM would be feasible in patients with peritoneal carcinomatosis (PC). During cytoreductive surgery with hyperthermic intraperitoneal chemotherapy for PC, HIVM was performed in both tumor and non-tumor areas. The primary outcome was HIVM feasibility to measure vessel characteristics. We secondarily evaluated associations between HIVM vessel characteristics and oncologic outcomes (RECIST response to neoadjuvant therapy and disease-specific survival). Thirty patients with PC were enrolled. Nineteen patients (63.3%) received neoadjuvant therapy. HIVM was feasible in all patients. Compared to non-tumor (control) areas, PC areas had a lower density of functional vessels, higher proportion of non-functional vessels, smaller lumenal diameters, and lower blood flow velocity. Qualitative differences in these vessel characteristics were observed among patients who had partial response, stable disease, or progressive disease after receiving neoadjuvant therapy. However, no statistically significant relationships were found between HIVM vessel characteristics and oncologic outcomes. These novel findings comprise the first-in-human, real-time evidence of the microscopic differences between normal and tumor-associated vessels and form the basis for our larger, ongoing clinical trial appropriately powered to determine the clinical utility of HIVM (NCT03823144).
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- 2021
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4. Text messaging as a tool to improve cancer screening programs (M-TICS Study): A randomized controlled trial protocol.
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Nuria Vives, Albert Farre, Gemma Ibáñez-Sanz, Carmen Vidal, Gemma Binefa, Núria Milà, Maria Jose Pérez-Lacasta, Noemie Travier, Llucia Benito, Josep Alfons Espinàs, Guillermo Bagaria, and Montse Garcia
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Medicine ,Science - Abstract
BackgroundShort message service (SMS) based interventions are widely used in healthcare and have shown promising results to improve cancer screening programs. However, more research is still needed to implement SMS in the screening process. We present a study protocol to assess the impact on health and economics of three targeted SMS-based interventions in population-based cancer screening programs.Methods/designThe M-TICs study is a randomized controlled trial with a formal process evaluation. Participants aged 50-69 years identified as eligible from the colorectal cancer (CRC) and breast cancer (BC) screening program of the Catalan Institute of Oncology (Catalonia, Spain) will be randomly assigned to receive standard invitation procedure (control group) or SMS-based intervention to promote participation. Two interventions will be conducted in the CRC screening program: 1) Screening invitation reminder: Those who do not participate in the CRC screening within 6 weeks of invite will receive a reminder (SMS or letter); 2) Reminder to complete and return fecal immunochemical test (FIT) kit: SMS reminder versus no intervention to individuals who have picked up a FIT kit at the pharmacy and they have not returned it after 14 days. The third intervention will be performed in the BC screening program. Women who had been screened previously will receive an SMS invitation or a letter invitation to participate in the screening. As a primary objective we will assess the impact on participation for each intervention. The secondary objectives will be to analyze the cost-effectiveness of the interventions and to assess participants' perceptions.Expected resultsThe results from this randomized controlled trial will provide important empirical evidence for the use of mobile phone technology as a tool for improving population-based cancer screening programs. These results may influence the cancer screening invitation procedure in future routine practice.Trial registrationRegistry: NCT04343950 (04/09/2020); clinicaltrials.gov.
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- 2021
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5. Intravital Microscopy (IVM) in Human Solid Tumors: Novel Protocol to Examine Tumor-Associated Vessels
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Trumbull, Denslow Allerton, Lemini, Riccardo, Bagaria, Sanjay P, Elli, Enrique F, Colibaseanu, Dorin T, Wallace, Michael B, and Gabriel, Emmanuel
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Medicine ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
BackgroundIntravital microscopy (IVM) allows the real-time, direct visualization of microscopic blood vessels. This pilot clinical trial will elucidate the physical and functional characteristics of vessels associated with solid tumors. ObjectiveThe main objective of this study is to determine the feasibility of performing IVM in patients with solid tumors during the standard course of surgical resection. IVM will also be performed when vasopressors or fluid boluses are administered during the standard course of the operation. MethodsThis is an open-label, nonrandomized, single-center, pilot study of IVM observation in subjects with solid tumors undergoing surgical resection. ResultsThis study was active on January 1, 2019 (NCT03823144) and funded by the Mayo Clinic Florida Cancer Focused Research Team Award. As of September 27, 2020, we had enrolled 20 patients. Accrual period is expected to end by December 31, 2021. ConclusionsThis trial will support the development of interventions to improve patient treatment by extending the application of IVM to the tumor microenvironment. IVM observations during volume and pressor management at the time of surgery may aid in the development of strategies to augment responses to systemic treatments. International Registered Report Identifier (IRRID)PRR1-10.2196/15677
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- 2020
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6. Baseline results of a living systematic review for COVID-19 clinical trial registrations [version 1; peer review: 2 approved]
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Brittany J. Maguire, Alistair R.D. McLean, Sumayyah Rashan, Emilia Sitsofe Antonio, Jayshree Bagaria, Zineb Bentounsi, Matthew Brack, Fiona Caldwell, Verena Ilona Carrara, Barbara Wanjiru Citarella, Prabin Dahal, Vitalis Fambombi Feteh, Marius H.B. Guérin, Kalynn Kennon, Kathinka Bilton Lahaut, Gerald Jamberi Makuka, Roland Ngu, Sopuruchukwu Obiesie, Caitlin Richmond, Sauman Singh-Phulgenda, Samantha Strudwick, Carina S.B. Tyrrell, Austin Schwinn, David King, Paul N. Newton, Ric N. Price, Laura Merson, Kasia Stepniewska, and Philippe J. Guérin
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Medicine ,Science - Abstract
Background: Since the coronavirus disease 2019 (COVID-19) outbreak was first reported in December 2019, many independent trials have been planned that aim to answer similar questions. Tools allowing researchers to review studies already underway can facilitate collaboration, cooperation and harmonisation. The Infectious Diseases Data Observatory (IDDO) has undertaken a living systematic review (LSR) to provide an open, accessible and frequently updated resource summarising characteristics of COVID-19 study registrations. Methods: Review of all eligible trial records identified by systematic searches as of 3 April 2020 and initial synthesis of clinical study characteristics were conducted. In partnership with Exaptive, an open access, cloud-based knowledge graph has been created using the results. Results: There were 728 study registrations which met eligibility criteria and were still active. Median (25th, 75th percentile) sample size was 130 (60, 400) for all studies and 134 (70, 300) for RCTs. Eight lower middle and low income countries were represented among the planned recruitment sites. Overall 109 pharmacological interventions or advanced therapy medicinal products covering 23 drug categories were studied. Majority (57%, 62/109) of them were planned only in one study arm, either alone or in combination with other interventions. There were 49 distinct combinations studied with 90% (44/49) of them administered in only one or two study arms. The data and interactive platform are available at https://iddo.cognitive.city/. Conclusions: Baseline review highlighted that the majority of investigations in the first three months of the outbreak were small studies with unique treatment arms, likely to be unpowered to provide solid evidence. The continued work of this LSR will allow a more dependable overview of interventions tested, predict the likely strength of evidence generated, allow fast and informative filtering of relevant trials for specific user groups and provide the rapid guidance needed by investigators and funders to avoid duplication of efforts.
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- 2020
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7. 77286 Intravital microscopy in the study of the tumor vasculature of patients with peritoneal carcinomatosis
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Emmanuel Gabriel, Minhyung Kim, Daniel Fisher, Catherine Mangum, Kristopher Attwood, Wenyan Ji, Debabrata Mukhopadhyay, Sanjay Bagaria, Matthew Robertson, Tri Dinh, Keith Knutson, Joseph Skitzki, and Michael Wallace
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Medicine - Abstract
ABSTRACT IMPACT: Investigation of tumor-associated blood vessels may serve as an imaging biomarker of response to systemic therapy and cancer outcomes. OBJECTIVES/GOALS: Aberrancies in the tumor microvasculature limit the systemic delivery of anticancer agents, which impedes tumor response. Using human intravital microscopy (HIVM), we hypothesized that HIVM would be feasible in patients with peritoneal carcinomatosis (PC) and generate clinical utility. METHODS/STUDY POPULATION: During cytoreductive surgery with hyperthermic intraperitoneal chemotherapy for PC, HIVM was performed in both tumor and non-tumor areas. The primary outcome was HIVM feasibility to measure vessel characteristics. We secondarily evaluated associations between HIVM vessel characteristics and oncologic outcomes (RECIST response to neoadjuvant therapy and disease-specific survival). RESULTS/ANTICIPATED RESULTS: Thirty patients with PC were enrolled. Nineteen patients (63.3%) received neoadjuvant therapy. HIVM was feasible in all patients. Compared to non-tumor (control) areas, PC areas had a lower density of functional vessels, higher proportion of non-functional vessels, smaller lumenal diameters, and lower blood flow velocity. Qualitative differences in these vessel characteristics were observed among patients who had partial response, stable disease, or progressive disease after receiving neoadjuvant therapy. However, no statistically significant relationships were found between HIVM vessel characteristics and oncologic outcomes. DISCUSSION/SIGNIFICANCE OF FINDINGS: These novel findings comprise the first-in-human, real-time evidence of the microscopic differences between normal and tumor-associated vessels and form the basis for our larger, ongoing clinical trial appropriately powered to determine the clinical utility of HIVM (NCT03823144).
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- 2021
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8. Revisiting Role of Bilateral Ligation of Internal Iliac Arteries and Preperitoneal Pelvic Packing for Hemorrhage Control in Patients with Pelvic Injuries in Resource Constraint Settings
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Pratyusha Priyadarshini, Narendra Choudhary, Junaid Alam, Sushma Sagar, Niladri Banerjee, Amit Gupta, Dinesh Bagaria, Biplab Mishra, Majid Anwer, Subodh Kumar, and Abhinav Kumar
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Resuscitation ,medicine.medical_specialty ,business.industry ,medicine.disease ,Surgery ,Blood pressure ,Damage control surgery ,Blunt trauma ,Shock (circulatory) ,Pelvic fracture ,Medicine ,Hybrid operating room ,medicine.symptom ,Ligation ,business - Abstract
BackgroundSince the description of bilateral ligation of internal iliac arteries (BLIIA) and preperitoneal pelvic packing (PPP) for haemorrhage control in pelvic injury patients, multiple reports have been published advocating its use with acceptable outcomes. We analyzed our experience with this technique in a setting where the facility of hybrid Operating room for simultaneous angioembolisation is not available.Material and MethodsWe prospectively analysed data of sixty-six patients who presented in a state of unresponsive shock with pelvic fracture between January 2014 and September 2019. After initial resuscitation, they all underwent BLIIA with PPP as part of damage control surgery.ResultsOut of 66 patients, 55 were male. The mean age was 36.12 years. All patients sustained blunt trauma, with road traffic injuries being the most common mechanism involving 65 % of the patients followed by fall from height. The mean systolic blood pressure at the time of surgery was 77 ±34.46mm Hg. Median packed red blood cell transfusion in the first 24 hours was 8.5 units with IQR of 6-12. The hemorrhage related mortality was 48%.ConclusionBLIIA with PPP may be considered as a viable treatment option in hemodynamically unstable patients with pelvic injuries in resource constraint facilities.
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- 2022
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9. 4071 Dynamic Control of Tumor Vessels Augments Antitumor Responses
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Emmanuel M Gabriel, Deborah Bahr, Sanjay Bagaria, Debrabata Muhkopadhyay, and Keith Knutson
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Medicine - Abstract
OBJECTIVES/GOALS: Our overall objective is to develop a directly observable and reproducible method of enhanced blood flow through tumor vessels (i.e. dynamic control) at the time of systemic treatment delivery. Our central hypothesis is that the dynamic control of tumor vessels will improve (1) systemic drug delivery and (2) effector cell trafficking to target tumor. METHODS/STUDY POPULATION: B16 melanoma cells were inoculated into C57BL/6 (B6) mice (male and female) in both regional (hind leg) and systemic (flank) models. Dynamic control consisted of an IV saline bolus (500 ul) and phenylephrine (10 ug). Tumor vessel response was observed in real-time through window chambers using intravital microscopy (IVM). Dynamic control was combined with melphalan (20 mg/ml) either regionally (isolated limb perfusion) or systemically. Outcomes included tumor growth, survival, IHC, and toxicity. Dynamic control will be combined with adoptive transfer of effector T cells. B6 mice will be inoculated with B16/OVA (flank with window chamber) and treated with fluorescently labeled (calcein), OVA-specific CD8+ T cells from OT-1 transgenic mice. IVM, IHC, and flow cytometry will be used to measure T cell trafficking. RESULTS/ANTICIPATED RESULTS: Dynamic control (1) restored blood flow in non-functional tumor vessels and (2) increased and then transiently reversed blood flow in functional vessels. Vessel diameters did not change, suggesting that shunting of systemic blood to the tumor vasculature accounted for the observed changes. Dynamic control augmented tumor responses in our regional therapy model of melanoma. Increases in DNA adduct formation (melphalan mechanism of action) detected by IHC, decreased tumor growth, and increased survival were observed with dynamic control. There was no increased limb toxicity. Similarly, dynamic control augmented responses in our systemic therapy model (decreased tumor growth and improved survival). We anticipate that dynamic control will improve trafficking of effector T cells in the next set of experiments. DISCUSSION/SIGNIFICANCE OF IMPACT: Heterogeneous responses to systemic therapies represent a major gap in current cancer treatment. An essential requirement for any effective therapy is its ability to reach tumor via the tumor-associated vasculature. We have therefore developed an approach to enhance drug delivery (dynamic control), which we also plan to test in clinical trials.
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- 2020
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10. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study
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Nepogodiev, Dmitri, Simoes, Joana FF, Elizabeth, Li, Picciochi, Maria, Glasbey, James C, Baiocchi, Glauco, Blanco‐colino, Ruth, Chaudhry, Daoud, Alameer, Ehab, El‐boghdadly, Kariem, Wuraola, Funmilola, Ghosh, Dhruva, Gujjuri, Rohan R, Harrison, Ewen M, Lule, Herman, Kaafarani, Haytham, Khosravi, Mohammad, Kronberger, Irmgard, Leventoğlu, Sezai, Mann, Harvinder, Mclean, Kenneth A, Mengesha, Mengistu Gebreyohanes, Modolo, Maria Marta, Ntirenganya, Faustin, Norman, Lisa, Outani, Oumaima, Pius, Riinu, Pockney, Peter, Qureshi, Ahmad Uzair, Roslani, April Camilla, Satoi, Sohei, Shaw, Catherine, Bhangu, Aneel, Omar, Omar M, Ahmed, Waheed‐ul‐rahman, Argus, Leah, Ball, Alasdair, Bywater, Edward P, Brar, Amanpreet, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Jones, Conor S, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Marson, Ella J, Ots, Riinu, Santos, Irène, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, William, Xu, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Townend, Philip, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Hossain, Kamral, Padmore, Greg, Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Gomes, Gustavo Mendonça Ataíde, Buarque, Igor Lima, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Martin, Janet, Ng‐kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong‐lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Jiménez, Pablo Mijahil Avilés, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El‐hussuna, Alaa, Batista, Sylvia, Lincango‐naranjo, Eddy, Emile, Sameh, Sandoval, Danilo Alfonso Arévalo, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Acquah, Daniel Kwesi, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera‐arevalo, Maria‐lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Kembuan, Gabriele, Milan, Peiman Brouki, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin‐young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Sánchez, Iran Irani Durán, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Medina, Antonio Ramos‐De, Nunez, Jade, Nashidengo, Pueya Rashid, Shah, Rakesh, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur‐rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi‐olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Sayyed, Raza, Mohsen, Mustafa Abo, Abukhalaf, Sadi A., Cukier, Moises, Gomez‐fernandez, Hugo, Yip, Sebastian Shu, Ojeda, Ximena Paola Vasquez, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard‐alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Ingabire, Jc Allen, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Dieu, Haragirimana Jean, Munyaneza, Emmanuel, Ncogoza, Isaie, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Bravo, Ana Maria Minaya, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam, Mohammed Elmujtba Adam Essa, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Huang, Abel, Lohsiriwat, Varut, Charles, Shane, Jlassi, Haithem, Isik, Arda, Lekuya, Hervé Monka, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead‐kendall, Brittany, Breen, Kerry, Mashbari, Hassan, Cal, Fernando Bonilla, Al‐naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Benson, Ruth, Bhanderi, Shivam, Biccard, Bruce, Caruana, Edward, Chakrabortee, Sohini, Chapatwala, Reema, Costas‐chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, James, Harelimana Grace, Griffiths, Ewen, Gronchi, Alessandro, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk‐iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, Mckay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vaughan‐shaw, Peter, Vidya, Raghavan, Wright, Naomi, Zimmelman, Natalie, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Salazar, Ivana Ines Pedraza, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Arancibia, José Alfredo Calderón, D’Aulerio, Giuliana, Dudi‐venkata, Nagendra, Egoroff, Natasha, Farik, Shebani, Lott, Natalie, Moss, Jana‐lee, Rennie, Sarah, Tan, Lorwai, Uyen Giao, Vo, Watson, David, Watters, David, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Mitul, Ashrarur Rahman, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Smèvo Romaric, Barros, Aldo Vieira, Júnior, Samuel Aguiar, Amaral Campos, Heloisa Galvão, Gross, Jefferson, Coimbra, Felipe José Fernandez, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Neto, Joao Pedreira Duprat, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St‐germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, Mackenzie, Shawn, Flexman, Alana, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Saenz, Dinimo Bolivar, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Alonso, Nestor Fabian Pedraza, Silva, Camilo Ortiz, Rodriguez, Juliana, Silva‐igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Calvache, Albaro José Nieto, Balanta‐melo, Julián, Figueroa‐casanova, Rafael, García‐montoya, Oscar‐julián, Toro, Carlos Andres Marulanda, Botero, Marcela Velez, Arango, Maria Clara Mendoza, Martinez, Eneida Diaz, Perdomo, Valentina Gutiérrez, Montenegro, Emileth, Rodriguez‐abreu, Julia, Mejía, Dolores, Abouelnagah, Galal, Shehata, Sameh, Rida, Ahmed Hossam Eldin Fouad, Hassan, Ramy A., Saad, Mahmoud M., Loaloa, Mohamed Reda, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Abebe, Metasebia, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Assefa, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Le Bian, Alban Zarzavadjian, Harper, Luke, Déserts, Marc Danguy, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Nkembi, Armande Subayi, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre‐alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin‐givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne‐cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler‐seyfried, Marie‐claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Ruiz, Alitza Gutiérrez, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, Jacqueline, 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Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, Ranganath, N, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Maleki, Esmaeil Rezghi, Kandevani, Naser Yousefzadeh, Ikele, Hilary, Mcnestry, Catherine, Fleming, Christina, O’Brien, Stephen, Elwahab, Sami Abd, Davis, Niall, Javadpour, Mohsen, Mcdonnell, Brendan, Connor, Clare O, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Salhiyeh, Ala’a Abu, Al‐manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’Ed, Hazim, Hamad, Faten Reyad Bani, Abuleil, Amro, Jimaale, Elmi Ahmed Mohamed, Abu‐mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu‐ismail, Luai, Khamees, Almu’Atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Mohammed, Alsnosy Abdullah Khalefa, Al Maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa Hassan Abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Amer, Anass Ben, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Islam Ben Jouira, Rayet, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Mcintosh, Nick, Haran, Cheyaanthan, King, Jasmin, Jeong, Ha, Mcguinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Okunlola, Abiodun, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty‐john, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami Ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Malik, Muhammad 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Park, Melissa, Parkin, Cameron, Poon, Rita, Somasundaram, Shanmugam S, Saab, Claudia, Simpson, Renwick, Steinel, Dana, Taylor, Emily, Tchen, Adrian, Thong, Shu, Tran, Kelvin, Tree, Kevin, Vance, Lucille, Wong, Ken, Victor, Yu, Zhang, Michael, Cox, Aram, Tan, David Chi Hau, Thani, Nova, Das, Shefali, Macdonald, Taigh, Salama, Paul, Sandhu, Gagandeep, Shadbolt, Rachel, Phan, Du, Townend, David, Eunmaro, Ju, Lee, Sang Mi, Barnett, Stephen, Kheslat, Hajar Hasan, Higgins, Andrew, Jamieson‐grigg, Chloe, Jenkins, Victoria, Larner, Brett, Perini, Marcos, Proud, David, Qin, Kirby, Riddiough, Georgina, Seevanayagam, Sivendran, Damien M., Wu, Zhao, Chris, Aggarwal, Sonali, Vinna, An, Battershell, Melanie, Chan, Elliot, Cheung, King Tung, Drake, Anna, Goonawardena, Janindu, Hunt, Benjamin, Christopher, Ip, Iyer, Vikram, Jain, Anshini, Kealey, Joshua, Lew, Chen, Lim, Christopher Seng Hong, Luck, Tara, Mackay, Sean, Maher, Natalie, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Steen, Christopher, Tsigaras, Zac, Tuttle, Zachary, Ward, Salena, Williams, Marli, Yeap, Evie, Zhou, Jessie, Coates, Amy, Mutalima, Nora, Tran, Ton, Nataraja, Ramesh, Sharpin, Claire, Bird, David, Choy, Kay Tai, Condron, Sarah, Daruwalla, Jurstine, Anjos, Isabela, El‐khoury, Hanna, Fabian, Robert, Gillard, Andrew, Greenop, Rebecca, Issa, Michael, Lee, Sharon, Mori, Krinal, Petrakis, Nikki, Qureshi, Maryum, Sabella, Danielle, Satasivam, Prassannah, Sathianathen, Niranjan, Seow, Sean Ezekiel, Shen, Amanda, Shi, Margaret, Tabassum, Meher, Teixeira, Rodrigo, Vivian‐taylor, Josephine, Wheatley, Jennifer, Shepherd, Sally, Soucisse, Mikael, King, Sebastian, O’Connor, Brendan, Teague, Warwick, Banting, Simon, Chong, Lynn, Clatworthy, Sharnel, Cochrane, Angela, Fox, Adrian, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Knowles, Brett, Newcomb, Andrew, Price, Veronique, Raman, Jaishankar, Read, Matthew, Rowcroft, Alistair, Taylor, Lillian, Wright, Gavin, Chana, Prem, Shaw, Kalai, Bock, Jacob, Cory, Jordan, Drummond, Katharine, Lahy, Jack, Mcintire, Thomas, Price, Benjamin, Stark, Claire, Besson, Alex, Gartrell, Richard, Lauritz, Brianne, Nguyen, Ha My Ngoc, Ong, Chui Foong, Pitcher, Meron, Scullion, Lorna, Tang, Howard, Taylor, Danielle, Wolf, Brigid, Wichmann, Matthias, Davis, Amelia, Maurel, Amelie, Raubenheimer, Kyle, Campbell, Cassidy, Colaco, Ashley, Machado, Maria Julia Corbetta, Heffernan, Abbie, Karihaloo, Costa, Ludbrook, Isabella, Park, Sean SW, Peerally, Bibi Nabeeha, Singhai, Camila, Stevens, Heidi, Vavilov, Sergey, Aubin, Anne‐marie, Harris, Margaret, Lim, Zhi Ying, Spring, Rebecca, Stieler, Melissa, Barnes, Nicholas Adamson, Alam, Ahmad Seraj, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Balogh, Zsolt J., Blatt, Alison, Cairns, Scott, Carroll, Jesse, Caterson, Andrew, Christie, Adam, Cope, Daron, Dale, Tyson, Dennis, Grace, Duggal, Anchal, Ennis, Brendan, Fenton, Mark, Yi Xin Joanna, Fu, Galevska‐dimitrovska, Ana, Gani, Jonathan, Gelzinnis, Scott, Gramlick, Madelyn, Hadlow, Claudia, Hardstaff, Ruth, Heer, Munish, Holmes, Merran, Hone, Bridget, Sophie, Hu, Huang, Linna, Iqbal, Ramiz, Jefferson, Niall, Kasthurirathne, Dimithi, Kuo, Stephen, Lau, Wayne Yan, Liang, Hsin‐ping, Lim, Daniel, Lin, Rosalina, Mcdonogh, Jack, Mcilwain, Elysse, Ming, Yan Joyce, O’Neill, Christine, Ocsan, Ryan James, Oosthuizen, Benjamin, Organ, Nicole, Otieno, James, Park, Felicity, Paterson, Amanda, Cerdeira, Marisol Perez, Peters, Luke, Petersson, Josefin, Rubbo, Sonia, Siribaddana, Venesa, Thurairajah, Kabilan, Ting, Caleb, Watson, Antonia, Way, Teagan, Wiadji, Elvina, Willoughby, Ellisha, Bailey, Ashley, Broadbent, Samuel, Narayanan, Viswanathan, Stephens, Samuel, Wilkes, Anna, Zhao, Jie, Ballal, Mohammed, D’Souza, Carl, Forbes, Clara, Goss, Matthew, Haddleton, Monique, Harty, Jacinda, Hayne, Dickon, Hew, Nicole, Koh, Wee Ling, Lee, Shawn, Malik, Shahbaz S, Abdul, Naseer Mohammed, Richards, Toby, Seow, Yi Th Ng, Wong, James, Archer, Leigh, Azaman, Nur Sabrina Binti Babe, Dilevska, Tina, Foo, Jonathan, Hans, Tasvinder, Jansen, Shirley, Kumar, Mohit, Leeson, Christopher, Pham, Terence, Pineda, Fernando Picazo, Rajakumar, Saravanan, Suk‐udom, Supisara, Tan, Jonathan, Thurston, Benjamin, Zhao, Bichen, Gupta, Shivangi, Hou, Lachlan, Jeyamanoharan, Nivedan, Leigh, James, Poh, Wei Shearn, Sala, Michael, Crothers, Rebecca, Dravid, Madhulika, Harrison, Ben, Islam, Sumayya, Mccartney, Conor, Nel, Henco, Pearson, Natasha, Apostolou, Christos, Berney, Christophe, Chou, Richard, Hanna, Sam, Lam, Andrew, Vanessa, Ma, Phanse, Salonee Shubhen, Elliott, Michael, Phung, Daniel, Barry, Jessica, Clark‐mackay, Eleanore, Cope, Jennifer, Halliwell, Richard, Chen, Ji, De Robles, Marie Shella, Llorando, Alyssa, Mahin, Humaira Haider, Rao, Dominic, Syed, Faisal, Abulafia, Daniel, Buckland, Benjamin, Cordingley, Timothy, Debiasio, Ashe, Drane, Andrew, Ireland, Patrick, Julien, Benji, Lan‐hoa, Le, Lee, Austin Yeon Suk, Loh, Eu Jhin, Middleton, Andrew, Mortimer, Brienna, Sebastian, Samuel, Short, Brooke, Stewart, Peter, Ruyven, Stephanie, Wong, Daniel, Zhang, Charry, Zhu, Bonnie, Ziaziaris, William, Leitner, Aran, Tolzman, Lukas, Zitt, Matthias, Rakos, Gergely, Székely, György, Djedovic, Gabriel, Königsrainer, Ingmar, Allmer, Caterina, Herritsch, Barbara, Mitteregger, Martin, Schauer, Christian, Seitinger, Gerald, Siebenhofer, Carmen, Uranitsch, Stefan, Duller, David, Mathew, Erwin, Skias, Christoph, Andrianakis, Alexandros, Belarmino, Armin, Brinskelle, Petra, Castellani, Christoph, Cohnert, Tina, Fediuk, Melanie, Fink, Andrea, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Leithner, Andreas, Lindenmann, Joerg, Lumenta, David, Michelitsch, Birgit, Mikalauskas, Saulius, Nischwitz, Sebastian P., Puchwein, Paul, Roj, Andrej, Schemmer, Peter, Singer, Georg, Smolle‐juettner, Freyja‐maria, Till, Holger, Wolf, Axel, Andraschofsky, Tibor Oliver, Angerer, Rafael, Arco, Daniel, Kaufmann, Claudia, Kilic, Nura, Widschwendter, Peter, Angermann, Reinhard, Bauer, Marlies, Bergmann, Nicole, Freyschlag, Christian, Gisinger, Martin, Gollmann‐tepeköylü, Can, Graber, Michael, Haim, Alexander, Harasser, Carina, Härter, Bettina, Hirsch, Jakob, Hofer, Markus, Holfeld, Johannes, Huber, Anna Lena, Kralinger, Martina, Krappinger, Dietmar, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Ninkovic, Marijana, Nowosielski, Yvonne, Osl, Antonia, Ower, Cornelia, Pölzl, Leo, Rauchegger, Teresa, Reimer, Daniel, Riecke, Johannes, Schwabegger, Anton H., Sokolovski, Filipp, Strimmer, Anna, Süss, Markus, Thaler, Martin, Umlauft, Julian, Zehetner, Claus, Zeimet, Alain G., Allerstorfer, Jakob, Haslhofer, David, Hofer, Daniel, Luger, Matthias, Pisecky, Lorenz, Poier, Nikolaus, Rubicz, Nina, Schmolmüller, Christoph, Zwittag, Paul, Rossmann, Tobias, Ruiz‐navarro, Francisco, Stefanits, Harald, Elsayed, Hend, Habertheuer, Peter, Hajkova, Tereza, Loidl, Wolfgang, Luger, Ferdinand, Windischbauer, Amadeus, Fischer, Ines, Függer, Reinhold, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Magele, Astrid, Mayr, Thomas, Noe, Chiara, Bittner, Reinhard, Borhanian, Kurosch, Dornauer, Isabella, Emmanuel, Klaus, Gabersek, Ana, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Hutter, Jörg, Jäger, Tarkan, Koch, Oliver, Lechner, Michael, Manzenreiter, Lisa, Mayer, Franz, Muehlbacher, Iris, Presl, Jaroslav, Rezaie, Daniel, Schredl, Philipp, Varga, Martin, Weitzendorfer, Michael, Wimmer, Angela, Brunner, Eberhard, Cillia, Michael, Gruber, Michaela, Grünbart, Martin, Heinrich, Elmar, Hoi, Hannes, Kemmetinger, Vanessa, Mittermair, Christof, Mosshammer, Victoria, Obrist, Christian, Paal, Peter, Roesch, Judith, Russe, Elisabeth, Schaetz, Tobias, Schirnhofer, Jan, Schwaiger, Karl, Wechselberger, Gottfried, Weiss, Helmut, Lanner, Maximilian, Binder, Alf‐dorian, Gürtler, Thomas, Fink, Marcus, Reichhold, Daniel, Stoyanova, Radoslava, Beitl, Klara, Bernardi, Martin H., Datler, Philip, Dawoud, Christopher, Farr, Alex, Foessleitner, Philipp, Grimm, Christoph, Harpain, Felix, Hoda, Mir Alireza, Holawe, Simone, Kranawetter, Marlene, Ott, Johannes, Perricos, Alexandra, Pesta, Maximilian, Pillerstorff, Robert, Reiterer, Christian, Riss, Stefan, Rosta, Klara, Scheriau, Georg, Tschernko, Edda, Wenzl, Rene, Wiedemann, Dominik, Wohlrab, Peter, Zapletal, Bernhard, Zimmermann, Matthias, Zimpfer, Daniel, Findl, Oliver, Fisus, Andreea, Ruiss, Manuel, Komaz, Melanie, Meindl, Nikolaus, Primavesi, Florian, Stadlbauer, Karl Heinz, Stättner, Stefan, Steiner, Florian, Cerny, Ondrej, Falkensammer, Eva, Knotzer, Hans, Köglberger, Paul, Poidinger, Bernhard, Wiesinger, Clemens Georg, Burtscher, Johannes, Rath, Sebastian, Trivik‐barrientos, Felipe, Aliyeva, Gunay, Behbudov, Vuqar, Muslumov, Gurbankhan, Zeynalov, Natiq, Alam, Mahmood, Alfayez, Fatema, Hasan, Batool, Mahdi, Maryam, Mulla, Husain, Qader, Kawthar, Saeed, Amr, Shirazi, Ahmed, Albastaki, Aysha, Birido, Nuha, Chagla, Hiba Hameed, Dawaishan, Abdulla, Dawaishan, Baheya, Farhan, Abeer, Juma, Isam, Khan, Asher, Patel, Aqsa Mohammad Eqbal, Srinivasan, Madhu, Deen, Fatema Waheed Akbar Mohamad Akbar Nawab, Abdulqadir, Seemal, Jabr, Abdulla, Maqsood, Fauzia, Almoosa, Noora, Naseer, Mai, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, Shahnoor, Islam, S. M. Nazmul, Karim, Sabbir, Faisel, Muntasir, Khan, Sadia, Mannan, Iftekhar Ibne, Nazia, Nawshin, Bentham, Malissa, Corbin, Sasha, Doyle, Alex, Eastmond, Asha, Haynes, Amelia, O’Shea, Margaret, Phillips, Emil, Walkes, Keisha, Artyushkov, Evgeniy L., Kaplan, Mark L., Straltsov, Vladislav, Litvina, Yauheniya, Lyzikov, Alexei, Tihmanovich, Victor E., Borges, Mafalda, Brits, Tim, De Hous, Nicolas, De Wachter, Stefan, Menovsky, Tomas, Mortiers, Xavier, Vermeulen, Dorien, Vleminckx, Nils, Ysebaert, Dirk, Bontinck, Julie, Bulthé, Danny, Rasschaert, Ricky, Van Haver, Anne‐sophie, Van Belle, Koen, Verstraeten, Laurence, Vounckx, Manon, D’Ulisse, Sébastien, De Bruyne, Yasmine, El Nakadi, Badih, Heloise, Tessely, Luisetto, Matteo, Marinakis, Sotirios, Maton, Maxime, Viste, Claire, Van Daele, Elke, Vandeputte, Mathieu, Duinslaeger, Marc, Jacobs‐tulleneers‐thevissen, Daniel, Jansen, Yanina, Janssens, Ward, Kunda, Rastislav, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Vanhoeij, Marian, Van den Eynde, Jef, Van den Eynde, Raf, Chaoui, Ahmed M., Akpla, Marcellin, Lawani, Souliath, Agossou, Hermann, Behanzin, Hulrich Aouagbe, Bokossa, Covalic, Dewanon, Hubert, Yome, Hugues, Boukari, Alassan, Gbehade, Oswald, Tobome, Sèmèvo Romaric, Amossou, Labissi Francois, Dossou, Francis, Barišić, Tatjana, Boras, Miran, Brekalo, Zdrinko, Blagojević, Ivana Čuljak, Damjanović, Ana, Dragisic, Vedran, Šimić, Ana Dugandžić, Gunaric, Filip, Kajic, Martin, Knežević, Darko, Krešić, Tanja, Lasić, Valentina, Letica, Ludvig, Martinovic, Vlatka, Mikulic, Iva, Miskovic, Josip, Pehar, Hrvoje, Rastović, Pejana, Sesar, Irena, Šetka‐čuljak, Violeta, Soljic, Martina, Tiric, Dejan, Tomić, Vajdana, Vasilj, Anja, Hudic, Igor, Oliver, Renato Aguera, Lamonica, Felipe Azenha, De Medeiros, Jorge, Florindo, Henrique Donizetti Bianchi, Filho, Rodolfo Jose Favaretto, Pereira, Fernanda Costa, Rodrigues, Rodrigo, Junior, Antonio Antunes Rodrigues, Andrade, Fernanda Ruiz, Salvetti, Maisa, Campioto, Débora Schalge, Lamonica, Mayra Tuboi, Urbano, Gustavo, Prado, Ricardo Villela, Alonso, Nivaldo, Santos, Carlos Ferreira, Tonello, Cristiano, Pires, Robinson Esteves, Rezende, Ricardo Fernandes, Reis, Igor, Marson, Fernando Augusto Lima, Ferreira, Erick Pires, Palamim, Camila Vantini Capasso, Brandao, Marcelo, Souza, Tiago Henrique, Maunsell, Rebecca, Neto, Alfeu Accorsi, Accorsi, Guilherme, Fernandes, Murilo Francisco, Machareth, Camila, Moura, Barbara Viegas, Dias, Vanessa, Guarienti, Luciano, Sampaio, Lia Regina, Vendrame, Cristiano, Coelho, Tatiane Amorim, Becker, Karin, Dias, Andre, Fachin, Camila Girardi, Gomes‐da‐silva, Monica Maria, Moraes, Isabela, Pinto, Amanda, Stychnicki, Adriano Seikiti, Julio, Nathalia Siqueira, Santos, José Mauro, Junior, Humberto Fenner Lyra, Oliveira, João Carlos Costa, Onzi, Tiago Rafael, Gerber, Marlus Tavares, Coelho, Filipe Osni, Silva, Janaína Carla, Panis, Carolina, Rech, Daniel, Avelino, Melissa, Botacin, Lais, Gonçalves, Mateus Capuzzo, Santos Leite, Amanda Lira, Pol‐fachin, Laercio, Bezerra, Tainá Santos, Santos Junior Alcimar, Alcimar Lavareda, Amorim, Robson, Leão, Maria Eduarda Bellotti, Bergamasco, João José Corrêa, Pinheiro, Cintia Cardoso, Neto, Rubem Alves Da Silva, De Araújo, Elaine Francisca, Guimaraes, Lilian, Liborio‐kimura, Tatiana, Camara, Isabelle Melo, Siqueira, Victor Ripardo, Rodriguez, Juan, Silva, Jeancarllo, Junior, Rubem Alves Silva, Cardoso, Cláudio, Guimaraes, Andre, Alves, Wislene Sarajane Moreira, Menezes, Agna Soares Da Silva, Araujo, Marcelo, Brito, Kattiucy, Albuquerque, Josie Marcelle Lira, Dussan‐sarria, Jairo Alberto, Souza, Andressa, Stüker, Andre Ricardo, Bresciani, Tiago, Stefani, Luciana Cadore, Cavazzola, Leandro Totti, Costa, Tainá, Dasqueve, Matheus, Marangon, Gustavo De Bacco, Martins, Otávio Ritter Silveira, Rodrigues, Josy, Cardoso, Guilherme Roloff, Neto, Brasil Silva, Soares, Tilaê, Zanella, Aline, Filippi, Lucas Torelly, Guerra, Enilde Eloena, Cruz, Ricardo Pedrini, Kalil, Antonio Nocchi, Laporte, Gustavo, Salem, Moacyr, Lima Brazan, Murilo, Campos Prado, Caio Antonio, Moises, Elaine Christine Dantas, Suto, Hilda Satie, Yasuda, Alice Gadotti, Zani, Ana Carolina Tagliatti, Santos, Roberto Cardoso Cardoso, Duarte, Geraldo, Joviliano, Edwaldo Edner, Santos, Carolina Lourenço Gomes, Quintana, Silvana Maria, Tamashiro, Edwin, Valera, Fabiana Cardoso Pereira, Zaccaro, Marília Veccechi Bijos, Andreotti, Isis, Lima, Leonardo, Salgado, Wilson, Cunha Viana Júnior, Alonço, Moutinho, Lana, Oliveira, Cora Pichler, Martins, Isabela Trindade, Toledo, Isabela Vieira, Guimaraes‐filho, Marco Antonio Correa, Arrivabeno, Rodrigo, Murta, Claudio Bovolenta, Said, Danniel Frade, Junior, Jose Pontes, Pugliesi, Felipe Guimarães, Gregorio, Paulo, Mariani, Alessandro, Minamoto, Fabio, Silva, Juliana Lourenço, Muller, Bruno, Zanon, Caio, Carvalho, Vladimir C., Lima, Ana Lucia Munhoz, Oliveira, Priscila R, Santos Silva, Jorge, Teixeira, Mariana Faccini, Kulcsar, Marco, Matos, Leandro, Nunes, Kamilla Schmitz, Junior, Joel Abdala, Abdallah, Emne, Carvalho, Genival Barbosa, Farias, Igor Correia, Silva, Cassia, Eloi Pinto, Fabio Fernando, Facure, Luciana, Godoy, André, Kupper, Bruna, Leite, Fernanda, Melo Lôbo, Matheus, Mantoan, Henrique, Marques, Narimã, Marques, Tomas, Medici, João Paulo, Torres, Silvio Melo, Garcia, Katheryne Merlos, Meduna, Rafael Ribeiro, Herbst, Ana Carolina Scintini, Santos, Silvana Soares Dos, Gonçalves, Bruna Tirapelli, Antonini, Marcelo, Brienze, Carolina, Farah, José Francisco, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Rodrigues, Danilo Nadal, Pansani, Adrieli, Rocha, Maria Luiza, Simonsen, Marcelo, Tsuchiya, Daniela, Vasques, Rafaela, Amorim, Jorge, Carvalho, Ana Alyra, Correia, Rebeca, Santos, Brena Costa, Neto, Henrique Jorge Guedes, Nakano, Luis, Pereda, Mariana, Vasconcelos, Vladimir, Awada, Jamile Barakat, Gava, Guilherme, Ijichi, Tiago Riuji, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Pereira, Thiago Henrique Sigoli, Volpe, Gustavo Jardim, Gatti, Arthur, Nardi, Caroline, Oliva, Ramon, Oliveira, Layze Braz, Carvalho, Herica Emilia Félix, Ribeiro, Ivonizete Pires, Rodrigues, Gabriel Renan Soares, Sousa, álvaro Francisco Lopes, Chebel, Michel, Sousa Fernandes, Paulo Henrique, Freitas, Marcelo Augusto Faria, Cunha, Juliano Rodrigues, Ather, Zeenia, Dimitrov, Dobromir, Filipov, Emil, Gyokova, Elitsa, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Neykov, Vasil, Atanasov, Boyko, Belev, Nikolay, Kamenova, Paolina, Tonev, Kaloyan, Yotsov, Tsanko, Hristova, Evguenia, Spassov, Kolyo, Tsankov, Tsanko, Dardanov, Dragomir, Gribnev, Petar, Sokolov, Manol, Brown, James, Tanyi, John, Hurdle, Heather, Maclean, Anthony, Sander, Michael, Al Riyami, Salim, Bali, Krittika, Bigam, David, Dajani, Khaled, Anvari, Mehran, Bolis, Rafik, Choi, David, Ellis, Susan, Gupta, Michael, Hanna, Wael, Hong, Dennis, Horner, Cynthia, Luketic, Lea, Moisiuk, Peter, Shargall, Yaron, Alfaro, Hilda, Alkhamesi, Nawar, Allen, Laura, Brackstone, Muriel, Chan, Eunice, Cheng, Davy, Chui, Jason, Gonzalez, Nelson, Lanting, Brent, Macneil, S. Danielle, Mayer, Robert, Mcgee, Jacob, Nagappa, Mahesh, Power, Nicholas, Prempeh, Agya, Qiabi, Mehdi, Razvi, Hassan, Schemitsch, Emil, Sehmbi, Herman, Shah, Ushma, Subramani, Yamini, Vasarhelyi, Edward, Vogt, Kelly, Yang, Homer, Abdehgah, Ali Ghorbani, Balvardi, Saba, Feldman, Liane, Fiore, Julio Flavio, Hanson, Melissa, Hopkins, Brent, Kaneva, Pepa, Lee, Lawrence, Leonard, Julia, Abou‐khalil, Jad, Martel, Andre, Stevenson, James, Lee, Susan, Merchant, Richard, Avoine, Samuel, Belanger, Laurence, Belanger, Mathieu, Belzile, Etienne, Blais, Anne‐sophie, Boucher‐kovalik, Sofia, Boulanger‐gobeil, Cindy, Cardinal, Etienne, Champagne, Pierre‐olivier, Cloutier, Jonathan, Corriveau‐durand, Simon, Cote, Mathieu, Cote, Maxime, Côté, Mathilde, Courval, Valérie, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Girard, Karine, Girard, Ève‐marie, Gosselin, Karo, Khuong, Helene, Labrecque, Nathalie, Langlais, Eve‐lyne, Larouche, Audrey, Lavallée, Andréane, Lemyre, Madeleine, Maheux‐lacroix, Sarah, Marien, Melissa, Marin, Patrick, Mauger, Julie, Milot, Genevieve, Nadeau, Sylvie, Nguyen, Sebastien, Paris, Mélinda, Pelet, Stéphane, Plante, Marie, Plante, Carole, Pouliot, Frederic, Renaud, Marie Claude, Sarlabous, Mathilde, Schmit, Isabelle, St‐germain, Raphaël, Johnston, Brian, Labine, Nicole, Persad, Amit, Pham, Hong, Wood, Melissa, Azam, Riordan, Atrey, Amit, Beckett, Andrew, Cohen, Daniel, Das, Sunit, Daza, Julian, Dunkerton, Cheryl, Ellenbogen, Yosef, Hanley, Ciara, Kellett, Sorcha, Khoshbin, Amir, Ladha, Karim, Mcfarlan, Amanda, Montgomery, Spencer, Pazmino‐canizares, Janneth, Suresh, Hrishikesh, Vasdev, Ravleen, Ahmed, Maira, Gentili, Fred, Kalyvas, Aristotelis, Millesi, Matthias, Sarica, Can, Shaikh, Taariq, Leslie, St, Jacques, Null, Tabasinejad, Raha, Zadeh, Gelareh, Hsiao, Marvin, Jedrzejko, Nicole, Black, Peter, Broe, Claire, Dandurand, Charlotte, Grey, Rebecca, Leung, Philemon, Lindberg, Andrew, Gutierrez, Juan Mata, Mayson, Kelly, Meneghetti, Adam, Phillips, Drew, Street, John, Calderón, Carolina Carvajal, Pizarro, Daniel Alejandro Donoso, Fernández, Esteban, Molero, Ángela, Mutarello, Nastassja, Lucic, Jorge Núñez, Gaete, Katherine Ochoa, Lopez, Catalina Ruiz, Sepúlveda, Rina, Ulloa, Camila, Barreda, Mauricio, Dallaserra, Matias, Wood, Matías Günther, Tobar, Mauricio Sandoval, Garcia‐huidobro, Francisco, Dona, Jimena, Diez, Carolina Soto, Igor, Daniel, Mena, Javier, Reyes, José Tomás, Soto, Catalina Arredondo, Campos, Jose, Gonzalez, Javier, Rivera, Barbara, Altamirano‐villarroel, Jaime, Cohn, David, Amesti, Luis Marin, Recabal, Pedro, Sandoval, Camilo, Fonseca, Bruno Catoia, Contador, Monica, Hodali, Andres, Pincheira, Camila, Mantilla, Andrea Ramos, Garrido, Claudio Salas, Torres, Janina, Valenzuela, Marco, Chen, Zehua, Jiankun, Hu, Tao, Jin, Yang, Kun, Zhang, Yuexin, Chen, Yuan, Cunchuan, Wang, Yang, Wah, Bai, Xueli, Liang, Tingbo, Tao, Ma, Ning, Pu, Yin, Hanlin, Caicedo, Camilo, Beltran, Diego Felipe Tellez, Escobar, Alejandro, Granados, Carolina Perez, Pinzon, Lisbeth Alexandra Urueña, Bonilla, Carlos, Santana, Diana, Serrano, Oscar, Garcia, Andrea, Luque, Fernando Giron, Patino‐jaramillo, Nasly G., Baquero, Laura Giselle Contreras, Botero, Nestor Augusto Muñoz, Castellanos, Jhoana Andrea Murillo, Calvera, Andrea Juliana Vega, Acosta Buitrago, Lina M., Bohórquez‐tarazona, Maria Paz, Rivera, Paulo Andrés Cabrera, Felipe Casas, J, Alfaro, Valeria Cormane, Corso, Julian, Guerra, Bayron, Guerrero‐becerra, Albert Franz, Abiyomaa, Akram Kadamani, Montes, Felix Ramon, Paz, Manuel Santiago Mosquera, Sandoval, Camilo Andrés Polanía, Quintana, Natalia, Ortega, Carlos Fernando Roman, Santacruz, Carlos, Téllez, Manuela, Sánchez, Camilo Alejandro Velandia, Arias‐amézquita, Fernando, Vargas, Luis Felipe Cabrera, Murgueitio, Natalia Cortes, Escorcia, Elkin, Ghotme, Kemel Ahmed Ghotme, Gomez‐mayorga, Jorge Luis, Vergel, Alvaro Felipe Guerrero, Herrera‐almario, Gabriel, Londono‐schimmer, Eduardo, Mejia, Juan A., Monsalve, Guillermo, Rodriguez, Camilo, Niño, Juan Nicolas Rodriguez, Ortegón, Luis Martín Rodríguez, Sanabria, Daniel, Alvarez, Andres, Andrade, Arnulfo, Ardila‐montealegre, Javier, Baquero, David, Vidales, Edgar Mauricio Barrios, Giraldo, María Alejandra Caicedo, Carvajal, María Camila, Castillo, Maria, Florez, Maria Carolina Castillo, Cendales, María Angelica, Monroy, Danny Conde, Cortes, Henry, Daniel, Mario, De la Peña, Jairo, Delgado‐nieto, Elena Leonor, Espitia, Hernando, Avendaño, Carlos Figueroa, Burgos, Edgar Oswaldo Hernandez, Isaza‐restrepo, Andres, Londono, German, Maldonado, Margarita Maria, Montenegro, Andrea, Navarro, Juan Carlos, Navarro‐alean, Jorge, Abaunza, Katherine Parra, Pulido, Eliana, Ramírez Amaya, Erika M., Chaves, Carlos Eduardo Rey, Rincón, Natalia Andrea Rivera, Castillo, William Mauricio Riveros, Sanchez, Lizeth Rodriguez, Rubiano, Wilson, Russi, Maria, Olarte, Juan Carlos Sabogal, Tovar, Javier Mauricio Salgado, Sanchez, Maria Juliana, Varela, David Mauricio Solano, Gomez, Paula Torres, Trillos, Marcial, Patiño, Ana María Vargas, Vargas‐barato, Felipe, Leon, Juan Pablo Villate, Useche, María Alejandra Wagner, Acosta, Jesus, Almeciga, Adriana, Mendez, Luis Becerra, Beltran, Rafael Jose, Bonilla, Ana, Buitrago, Miguel, Cabrera, Marino, Quiroz, Pedro Hernando Calderon, Camacho‐nieto, Diego, Fierro, Carlos Andrés Carvajal, Bonilla, Sergio Cervera, Diaz, Sandra, Facundo, Helena, Forero, Jorge, Mora, Mauricio Garcia, Tirado, Karena Victoria Garcia, Perez, German Fabian Godoy, Gonzalez, Felipe, Guevara, Oscar, Hernandez, Jairo Alonso, Mora, David Ricardo Herrera, Lalinde, Juan David, Lehmann, Carlos, Llanos, Eduardo Leon, Lopez, Byron Eduardo Lopez De Mesa, Mariño, Ivan, Medina, Monica, Morales, Raúl Eduardo Pinilla, Puerto, Angela, Null, Ma, Quintero‐ortíz, Andrea, Hernández, Juliana Rendón, Cortés, Elio Fabio Sánchez, Hernández, Alvaro Eduardo Sánchez, Suarez, Raul, Suescun, Oscar, Vanegas, Marco, Varela, Rodolfo, Bernal, Jorge Luis Velez, Viveros‐carreño, David, Gómez, Daniela Camargo, Fletcher, Angelica, Merchan, Abel, Luna, Euler Javier Burbano, Cujiño, Indira, Galvis, Mauricio Velasquez, Galliadi, Lina Maria Vergara, Gonzalez, Orlando Abonia Gonzalez Abonia, Saravia, Maria Fernanda Acuna, Arroyave, Roberto, Angulo, Jose Maria Barreto, Bonilla‐escobar, Francisco Javier, Cardona, Uriel, Giacometto, Ivan Castañeda, Castillo, José Luis, Castillo‐cobaleda, Diego Fernando, Garcia, Diego Jose Caycedo, Tello, Brenda Marcela Coll, Dueñas‐ramirez, Juan Carlos, Vidarte, Oscar Andres Escobar, Figueroa, Luis, Garcia‐perdomo, Herney, Gomez, Alden, Gomez, Laura, Gomez, Alejandro, Grande‐gil, Ana María, Guarin, David, Guzman, Natalia, Castañeda, Enrique Herrera, Hinaoui, Marisol, Escobar, Anuar Armando Idrobo, Kammerer, Christian Kammerer, Leon, Sergio, Lucero, Carlos Antonio Llanos, López, Angie, Martinez‐blanco, Alexander Maximiliano, Casella, Antonio José Montoya, Corredor, Ricardo Andres Niño, Ordoñez, Sebastian, Uribe, Diego Alfredo Palta, Serna, Andrea Carolina Perea, Ríos, July, Ríos‐samper, Gabriel, Garcia, Juan David Rivera, Moreno, Juan Camilo Salcedo, Sandoval, John, Ramirez, Guillermo Alberto Sarmiento, Romero, Paola Andrea Tabares, Urzola, Ricardo, Valdes‐duque, Iliana Maria, Velasquez, Miguel, Villegas, Lina Maria, Zapata‐copete, James, Lara, José Omar Zorrilla, Zuluaga, Mauricio Zuluaga, Moreno, Alejandra Echeverri, Figueroa, Juan Sebastian, Ortiz, Adolfo Enrique Gómez, Mosos, Maria Fernanda Gonzalez, González‐orozco, Alejandro, Roncancio, Juan Jose Jaramillo, Martínez, María Camila Leyva, Mosos, Monica, Ramirez, Juan Sebastian, Rodríguez, Henry Andrés, Henao, Juan David Saavedra, Varón, María Alejandra Torrado, Ramírez, Leidy Natalia Idarraga, Ocampo, Lorena, Marin, Monica Cardona, Gonzalez, Ana Maria Marin, Mejia, David Alejandro, Vanegas, Luis Emiro, Martinez, Yicel Alvarez, Vesga, Sandra Aruachan, Fuentes, Dayana Vanessa Baron, Salas, Alejandra Caballero, Estrada, Gustavo Antonio Martinez, Campo, Kelly Viloria, Alvarez, Juan Antonio Corralez, Regino, Cesar David Galindo, Velasquez, Angela Maria Giraldo, Moreno, Carlos Enrique Melo, Tejada, Jorman H., Tovar, Jesus Hernan, Tovar, German Alirio, Hernández, Edison Alexander Benavides, Orozco‐chamorro, Claudia Milena, Angel, Gustavo Adolfo, Buesaquillo, Christian Ali, Montaño, Victor David Olave, Sánchez‐gómez, Andrés, Ureche, Daniela Patricia Escalante, Garrido, Jairo Martinez, Genda, Eben‐ezer, Eboma, Fabrice, Bitunjac, Kristina, Grulović, Karlo, Vučković, Marijana, Šantak, Goran, Borovic, Emanuel, Versic, Ana Bosak, Hasandić, Damir, Grabar, Natasa Poldan, Medancic, Suzana Srsen, Brkic, Lucija, Cokarić, Sara, Palac, Petra Pavic, Samac, Zeljka, Tomić, Josipa, Vrdoljak, Marija, Bacic, Ivan, Bakmaz, Bernarda, Vučičić, Nikolina Bratošević, Brzic, Domagoj, Canovic, Samir, Dijan, Emilio, Dragicevic, Maja Grgec, Karlo, Robert, Konjevoda, Suzana, Kovačević, Petra, Kovačić, Ivan, Markulić, Frane, Matak, Luka, Morović, Domagoj, Perišić, Gordan, Simic, Andrea, Skitarelić, Neven, Veršić, Matea, Žufić, Vanja, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Litvic, Dubravka Heli, Markov‐glavas, Duska, Jovanovic, Tatjana Savic, Augustin, Goran, Biloš, Jerko, Biočina, Bojan, Biosic, Vedrana, Bobovec, Dino, Botica, Iva, Bumber, Boris, Čerina, Petra, Vukovic, Katarina Duric, Gasparovic, Hrvoje, Gatin, Lucija, Grsic, Kresimir, Radojković, Ika Gugić, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Kulis, Tomislav, Kunjko, Kristian, Maric, Marjan, Kavanagh, Marcel Marjanović, Milicic, Borna, Morić, Trpimir, Pasini, Miram, Penezić, Luka, Prgomet, Drago, Prstacic, Ratko, Prtorić, Andreja, Radojković, Rudolf, Romić, Ivan, Sečan, Tomislav, Šoša, Dora škrljak, Slipac, Juraj, Tomic, Mislav, Zedelj, Jurica, Zekulić, Toni, Zimak, Zoran, Lorencin, Mia, Luksic, Ivica, Mamic, Matija, Espinsa, Norberto Miranda, Cruz, Ailén Sánchez, Antoniou, Stavros A., Kakas, Michael, Panayiotou, Yiannis, Almezghwi, Heyam, Arslan, Kalbim, Besim, Hasan, Özant, Ali, Özçay, Necdet, Kokkinos, Georgios, Papatheodorou, Panayiotis, Pozotou, Ioanna, Stavrinidou, Olga, Yiallourou, Anneza, Burda, Lukáš, Dosoudil, Michal, Martinek, Lubomir, Gawel, Wladyslaw B., Lerch, Milan, Peteja, Matúš, Žatecký, Jan, Daniel, Toman, Formánek, Martin, Javurkova, Veronika, Kepičová, Markéta, Macečková, Nicole, Matousek, Petr, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Černý, Jan, Khan, Sami, Lischke, Robert, Přibyl, Martin, Younus, Temoore, Amarasena, Yenuksha, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Harbjerg, Julie Lykke, Hviid, Louise, Kristensen, Helle ø, Mekhael, Mira, Nielsen, Mette Fugleberg, Paulsen, Laerke, Sinimäki, Saija, Mogensen, Louise Zinck, Bonde, Peter, Ebbehøj, Anders Lyng, Fenger, Anne‐sophie, Haugstvedt, Aleksander Fjeld, Hansen, Christine Hangaard, Jönsson, Maria Lovisa, Jorgensen, Lars N, Krarup, Peter‐martin, Lihn, Anne‐louise, Meyhoff, Christian, Otte, Helena, Amar, Anas Ould Si, Palm, Henrik, Schlesinger, Nis, Smith, Henry, Tryggedsson, Ida, Axelsen, Anne Reiss, Bælum, Jens Kristian, Ellebaek, Mark Bremholm, Ellebæk, Signe Bremholm, Hogh, Anders, Acosta, Maria, Acosta, Yancy, Baez, Pedro, Betances, Luis Alfredo, Bonilla, Luis Rodolfo, Cabreja, Daniel, Cruz, Wilton Cabrera, Expósito, María Mabel Collado, Crespo, Aldo, Cruz‐pineda, Octavio, D’óleo García, Claudio Samuel, Díaz, Pedro, Escoto, Remberto, Figueroa, Jatnna, Garcia, Luis, Rodriguez, U Garcia‐Dubus, Gomez, Humberto, Grullon, Adrian, Guerrero, Fatherin, Guzman, Lillian, Mosquea, Thelma Rocío Jiménez, Lazala, Engels, Lopez, Ariela, Francisco, Leeany Maletta, Mercado, Jhomayri, Munoz, Herisardy, Paulino, Jeffrey, Fernandez, Maricely Ambar Perez, Reyes, Rudeily, Guilamo, Lilia Rosa Reyes, Rivas, Ruben, Torres, Claudia Alejandra Rivas, Rodríguez, Ada, Villa, Madelin Tamar Rosario, Santana, Eleazar, Soto, Joel, Tactuk, Nassin, Sardiñas, Cristina Kristel Tonos, Ubinas, Raul, Victoria, Jose, Villegas, Aaron, Acra‐tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Blaubach, Alejandro, Mejía, Denisse Idalia Campos, Capellan, Nathalia, Bruzual, María Fernanda Cedeño, Spencer, Saray Cordero, Lantigua, Gabriella Cuevas, De Jesus, Luis, Díaz, Gabriela, Vásquez, Pedro Pablo Díaz, Disla, Karla, Uceta, Jesús Antonio Echavarría, Jimenez, Paola Irina Eusebio, Fernandez, Damaris, Camilo, Marlin Fernandez, Germosen, Jiomar Manuel Figueroa, Fortunato, Maruel, Fernández, Leyla Gabriel, Dihmes, Alicia German, Herrera, Héctor, Cuevas, Elizabeth Leon, Mata, Jose Alejandro, De La Cruz, Mirian Mateo, De la Cruz, Dolores Mejia, Mirambeaux, Marcos, De La Cruz, Fabio Ortiz, Paulino, Henry, Pelletier, Gabriela, Pichardo, Merycarla, Enrique, Rodriguez Pumarol Próspero, Rivas, Julio, Marmolejos, Ann Stephany Sanchez, Santana, Roman Santana, Almanzar, Irina Suero, Sánchez, María Magdalena Vásquez, Campuzano, Nicolás, Ocampo, José Ricardo Negrete, Armas, Maria, Guerra, Alvaro Santiago LeMarie, Vizcaya, Gustavo León, Abdelwahab, Omar Ahmed, Elmehrath, Ahmed O., Mostafa, Mohammed Ezzat, Amira, Gamal, Sallam, Ibrahim, Sherief, Mohamed, Abdelmajeed, Ahmed, Abdou, Mostafa, Shanab, Ahmed Abo, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Bakr, Amna Abou, Aboubakr, Samar, Abouelnagah, Yossof, Aboumadawy, Omar, Adel, Dina, Afifi, Nermeen, Ahmed, Sara, Ahmed, Abedelrahman, Sayed, Mohamed AL, Alberkamy, Abdelrahman, Aldahma, Mohamed, Ali, Ahmed, Ali, Mostafa, Bakr, Mohamed Amin, Anter, Alaa, Asal, Doaa, Ashoush, Fouad, Ashraf, Olfat, Ashraf, Abdel Rahman, Atta, Rewan, Badr, Salma, Bahaaeldin, Mohamed, Bastawesy, Mostafa, Darwish, Sara, El Kharashy, Rasha, Elassar, Ziad, Elbadawy, Seifeldin, Elkhity, Dina, Elsaka, Alromisaa, Elsayed, Manal, Hewalla, Mostafa Elsayed Elsayed, Elshafey, Mohamed, Eshac, Youssof, Eshac, Fares, Essameldin, Amr, Ewedah, Moataz, Ezz, Yara, Farag, Mohamed, Gadelkarim, Inas, Gadelrab, Ziyad, Gamal, Dina, Ghaly, Mira, Girgis, Nathalie, Gouda, Omar, El Goweini, Nancy H., Hafez, Nour, Hafez, Youssef, Abdin, Abdelkader Hamed, Hanno, Rodina, Hassanin, Aliaa, Hassanin, Mohamed, Hemead, Hanan M., Hemida, Abdelrahman, Hosain, Maher, Hossam, Ahmed, Aly, Hamza Hussein Aly Salama, Ibrahim, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Hamouda, Noha Mohamed Salah Ibrahim Moussa, Iskander, Monica, Khalifa, Islam, Kotb, Mostafa, Mahmoud, Nada, Shabana, Alaa Mahmoud Abo, Mamdouh, Nora, Metwalli, Maram, Metwally, Khaled, Moghazy, Mahmoud, Mohamed, Moustafa, Mourad, Mohamed, Moustafa, Esraa, Mubarek, Kamilia, Nader, Nour Eldin, Nasser, Ahmed, Omar, Samaa, Qatora, Mostafa Shehata, Ragab, Mohamed, Ragal, Marawan, Ramadan, Dina, Ramadan, Rana, Ramadan, Sara, Romany, John, Sabry, Ahmed, Said, Yasmeen, Salamah, Sara, Saleh, Ahmed Mostafa, Elkaffas, Mona Saleh Mesbah Mohamed, Salem, Alaa, Salim, Hashem, Samih, Ahmed, Abdelaal, Ahmed Samir, Shaheen, Ahmed, Mohammed, Yassmeen Sharafeldin, Shehata, Abdelrahman, Shemeis, Mohamed, Shenit, Karim, Sheta, Mennatallah, Soffar, Asmaa, Tanas, Yousef, Tarek, Ahmed, Yehia, Nermin, Eid, Omar Khaled Mohamed, Abdulfattah, Ammar Yasser, Elsaghir, Ahmed, Elganainy, Mohamed Fouad, Elsayed, Omar Ibrahim, Elmandouh, Omar, Hamam, Omar, Shehata, Mostafa Ahmed, Abdelaziz, Areej A., Abbas, Ahmed M., El‐ghani, Wael Abd, Abd Elazeem, Hossam Aldein S., Elsayed, Mustafa Abd, Abd‐elkariem, Ahmed Yassien, Abdalla, Shimaa, Abdel‐aleem, Mahmoud, Abdelazeem, Khaled, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abdelraouf, Ali, Abdullaha, Lamess, Abubeih, Hossam, Ahmed, Moaiad Eldin, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Saad, Sarah Ahmed, Alaa, Sherif, Alhussaini, Ali, Ali, Abdelrahman Ahmed Abdelrahman, Ali, Ibrahim, Ali, Wagdi, Mohamed, Mohamed Ali, Ashraf, Mohamed, Bassiouni, Muhammad, El‐adawy, Mohamed G., El‐sharkawi, Mohammad, Elkhayat, Hussein, Elmaghraby, Khaled, Elsdfy, Shady, Elsharkawy, Mohamed, Eltayeb, Almoutaz, Mohamed, Mohamed Esmat, Essam, Esraa, Fahd, Mahmoud, Farouk, Osama, Gadelkareem, Rabea, Ghoneim, Ahmed, Takrouney, Mohammed Hamada, Hamdan, Ahmed, Hamed, Abd El‐Rahman, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Hawal, Islam, Henes, Kerollos, Herdan, Mohamed Omar, Hetta, Helal F., Ibrahem, Omar, Ibrahim, Mostafa, Ibrahim, Islam H., Kamel, Mahmoud, Khallaf, Mohamed, Elghazaly, Shrouk M., Mahfouz, Abobakr, Mahmoud, Osman, Mahran, Wesam, Mahrous, Doha, Marsis, Abadeer, Mohamed, Ayman, Hussein, Aliae Mohamed, Sayed, Amr Mohamed, Mohammed, Mahmoud M, Mokhtar, Ahmed, Monib, Fatma A., Nageeb, Ahmed, Nageh, Mariam Albatoul, Nageh, Mohammed, Omar, Nehal Gamal, Ragab, Abdelrahman, Ramadan, Abdelrahman, Temerik, Abdallah Rashad, Sabry, Aya, Safwat, Hadeer, Salah, Omar, Mahmoud, Ahmed Elhussiny Salah, Saleh, Ahmed, Sallam, Mahmoud, Samir, Ahmed, Sayad, Reem, Sayed, Esraa, Sedik, Ahmed S., Shahine, Mohammed, Soliman, Antonios, Soliman, Wael, Taher, Mohamed Gamal, Wanees, Randa, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Elabedeen, Omar Zein, Hassan, Ahmed Emad Sayed, Fattah, Shrouk Abdel, Abostate, Ahmed, Ali, Samar, Salama, Saad Ali Saad, Allam, Mohamed, Alsadek, Ahmed, Arafa, Ebrahim, Barakat, Ahmed, El Sherpiny, Mohammed, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Eltregy, Sherif, Hamdy, Mahmoud, Hassan, Gehad, Khalifa, Aya, Mahmoud, Ahmed, Altukhy, Ahmed Mohamed, Noah, Kareem, Noureldin, Yasser, Nowar, Mostafa, Saad, Moustafa, Elsaeidy, Ahmed Saad, Elsaeidy, Khaled Saad, Sabry, Hesham, Sameh, Mostafa, Said‐elnaby, Ahmed Tarek, Zahed, Mohamed, Zahran, Mohamed, Zaid, Abdelrahman, Zoghary, Ahmed Zaki, Atef, Mohamed, Mohamed, Ahmed, Youssef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, Alazab, Emad, Awad, Ahmed K., Darwesh, Amr, El Fiky, Lobna, Elgarhy, Ibrahim, Nassef, Mohamed Adel, Shaban, Mahmoud, Shalaby, Mahmoud Mohamed Mohamed, Wahba, Abdelrahman, Fouad, Omar Youssif Omar, Elsadek, Menan, Gad, Dalia, Abdelsamed, Ahmed, Bayomy, Abdulhakeem, Elsalhy, Mohamed, Fahim, Ahmed, Seleim, Ahmed, Afifi, Eman, Gamal, Fatma Alzahraa, Gamal, Mennatullah, Eldesouky, Omnia, Eldwini, Mohamed Hatem Elmetwalli Eldwini, Fahmy, Mostafa Medhat Fahmy, Hussein, Ahmed, Ouf, Abdallah, Sami, Omar, Shaat, Salem, Bahi, Abdullah Wael Mostafa Khalil, Atea, Abdurhman, Gamal, Ibrahim, El Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Al‐oribi, Saeid, Aly, Nuran Khaled, Elfiky, Mahmoud, Elmaghraby, Alaa Eldine, Elrahmany, Abdulrahman, Elsherbeeny, Motaz, Helmy, Youssef, Nabil, Ahmed, Farahat, Ahmed Samir, Soliman, Mostafa, Wassef, Amr, Abdelrahman, Abdelrahman, Elsaban, Seif, Ghaly, Galal, Hamdy, Rana, Mondy, Hamada, Abdallah, Lubna, Darwish, Abdelrhman KZ, Rabea, Mohamed, Azab, Mohammed A, Abbas, Alzhraa Salah, El‐deeb, Marwa, Fawzy, Mohamed, Ibraheem, Maher, Bakry, Abdelrahman, Elnems, Sarah, Elsheikh, Randa, Gbreel, Mohamed Ibrahim, Hafez, Mahmoud, Jammal, Mohamed, Hamam, Khaled M, Makram, Abdelrahman M, Makram, Omar Mohamed, Rabie, Salma, Askalany, Sherine Yousery, Abushanab, Mokhtar Mohamed Ibrahim, Eid, Abdulrahman, El Ghalid, Mohammed Refaat Ibrahiem Amin, Abdelaty, Ahmed Adel, Fayad, Elsayed A., Radwan, Asmaa, Sallam, Moataz, Shokry, Ahmad, Farouk, Ahmed Mohamed, Elfallal, Ahmed, Elfeki, Hossam, Elsaeed, Mohamed, Elsaid, Mahmoud, Makroum, Amany, Elsaid, Dina Mohamed, Mostafa, Mohamed, Omar, Mohamed W, Rezk, Mohamed, Sakr, Ahmed, Sanad, Aly, Shalaby, Mostafa, Shawqy, Mohammed, Shetiwy, Mohamed, Shoma, Ashraf, Tawakl, Noura, Yunes, Asmaa, Abouzid, Amr, Atallah, Khalid, Elmorsi, Rami, Elsherbini, Ahmed, Gaballa, Khaled, Hamdy, Omar, Hamdy, Mohamed, Metwally, Islam Hany, Refky, Basel, Shetiwy, Mosab, Zuhdy, Mohammed, Zahran, Mohammed A, Abdellah, Fatima, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Al‐shazly, Mohammed Hamdy, Ali, Mohamed, Allam, Abdallah R, Aposaeeda, Aya, Asfour, Mohammed, Ayman, Ammar, Omran, Abdelrahman Azzam, Daghash, Ibrahim Tawfiq, Ebada, Mahmoud Ahmed, Eid, Taher, El Kelany, Ahmed, El Shemy, Esraa, El‐hag‐aly, Mohammed, Elgamal, Omar, Elghoury, Mahmoud, Elkased, Ahmed Farag, Ellakwa, Takwa Hamed, Ellakwa, Hamed, Elmeanawy, Amr, Elnoamany, Salma, Elsabagh, Alaa, Elsawey, Abdelrahman, Elshabrawy, Enas, Elshakhs, Seliman, Elsoudy, Naira, Ezzat, Esraa, Fawzy, Ahmed, Gamal, Abrar, Gameel, Ahmed, Gharbia, Khaled, Ghonaim, Mohamed, Ghonaim, Alaa, Hafez, Ahmed, Hafez, Abdelrahman, Ismail, Zainab, Khaled, Mohamed, Meselhy, Mohammed, Mikhail, Pola, Mohamed, Mervat, Mougahed, Mohamed, Mustafa, Abdulla, Nada, Ahmed, Omran, Janna, Ebiad, Mohamed S., Saleh, Ibrahiem, Salem, Nourhan, Salem, Osama, Selim, Salma, Shalaby, Ghada, Sherif, Hoda, Soltan, Hatem, Wahbah, Mahmoud, Abdelbary, Eman Zakaria, Zayan, Ahmad Helmy, Afify, Abdelrahman, Hadiya, Hossam Ali, Elshref, Mohamed Jamal, Ahmed, Mostafa Mohamed, Nasser, Nourhan, Abdeldayem, Hesham, Salama, Ibrahim Abdelkader, Ammar, Khaled, Ayoub, Islam, Aziz, Amr, Badawy, Mohammad Taha, Balabel, Mohamed, Fayed, Yahya, Gad, Emad Hamdy, Gomaha, Maher, Hammad, Essam, Hegazy, Osama, Hegazy, Elsayed, Ibrahim, Tarek, Kallaf, Mostafa, Macshut, Mahmoud, Magdy, Ammar, Oteem, Ahmed, Sallam, Ahmed, Samaan, Samy, Sharshar, Mohamed, Shoreem, Hany, Soliman, Elsayed, Soliman, Hossam Eldeen, Yassein, Taha, Zakaria, Hazem, Eldaly, Abdullah, Mashaly, Sarah, Abd‐elsalam, Sherief, Abdel‐elsalam, Wafaa, Shaalah, Ahmed Abdullah, Elbahnasawy, Mohamed, Elhalaby, Ismael, Hamada, Mohamed, Soliman, Sarah Hamdy, Hawila, Ahmed, Morsy, Mohamed Sherif, Naieem, Mohmed, Nasreddin, Mohammed, Salman, Samar, Sarsik, Sameh, Shabana, Ahmed, Tolba, Engy, Zagho, Mohamed, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abdurehman, Oumer, Admasu, Azarias, Berhea, Ataklitie, Eado, Yegeremu, Hailu, Nebiyou, Kidane, Meklit, Mohammed, Abdurezak, Mohammed, Khalid, Tibelt, Admasu, Woldemariam, Mersha Abebe, Yonael, Lydya, Alemu, Megersa, Aklilu, Abenezer Tirsit, Asele, Frehun, Assefa, Solomon, Azmach, Dawit, Bekele, Philimon, Mamo, Mickyas, Maru, Nahom, Mekuria, Haile, Menkir, Abel, Mikru, Filagot, Siraw, Eyerusalem, Suga, Hilkiah, Sumoro, Natnael, Teka, Aklilu, Thomas, Efeson, Woldemariam, Dereje, Wubishet, Estifanos, Abebe, Engida, Abebe, Kirubel, Asfaw, Fitsum, Bergene, Eyerusalem, Eshete, Mahder, Gebrehiwot, Fitsum Gebreegziabher, Gedefaw, Yetsedaw, Mengesha, Mulualem Wondafrash, Mengiste, Netsanet, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Tedla, Yonatan, Teklu, Daniel, Teshome, Henok, Tirfe, Leake, Tsegabrhan, Sahle, Tsehaye, Milkias, Worku, Bereket, Molla, Million, Supha, Melka, Taye, Tewodros, Abebe, Nebyou, Alemu, Berhanu, Chanie, Abera, Degefu, Hailegebriel, Desalegn, Dawit, Gebre, Hiwot, Hussen, Husnia, Kassa, Dawit, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Negash, Samuel, Sahlu, Abat, Tiruneh, Abraham Genetu, Wolde, Amanuel, Woldeselassie, Hanna Getachew, Ahmed, Mnewer Y., Zewdneh, Betelhem, Fentaw, Jibril, Salia, Shemsedin, Tabore, Ketema, Gurara, Addisalem, Abreha, Tassew, Abrha, Teklebirhan, Beyene, Gaym, Hailu, Niguse, Weldu, Mulu Atsbaha, Abdissa, Desalegn, Tesfaw, Mequannet, Wolle, Melatework, Asmamaw, Dawit, Assefa, Biniam Zemedu, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Melkamu, Solomon, Mengesha, Workineh, Shumye, Getachew, Tagele, Gashaye, Tesfa, Abrham Amare, Workneh, Wubshet, Genetu, Sileshi, Mebratu, Eneyew, Chanyalew, Lidya, Deresse, Tilahun, Girma, Adissu, Seid, Marta, Shimelash, Dagim, Shitaw, Abrham, Ayalew, Tewabe, Diress, Tesfaye, Kassahun, Berhanu, Kassaye, Bersabeh, Mulugeta, Esubalew, Tesfaw, Getasew, Yimenu, Beminet, Benecha, Semir, Aman, Mudesir, Ibrahim, Adem, Mekete, Alem, Tesemma, Abdi, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Ahmedin, Mahlet, Assefa, Yared, Ayde, Fitsum, Berhe, Alazar, Gebremeskel, Zersenay, Siyoum, Eneyew Getachew, Teresa, Sintayehu, Wude, Zinaye, Yemer, Fasika, Yohannes, Dagnachew, Zeleke, Ewunetu, Zerihun, Gulilat, Degefe, Derje Worku, Derilo, Hankore Tamirat, Eliyas, Nebiyu, Bayissa, Firew, Deressa, Yadani, Gemechu, Lidya, Gurmu, Tegenu, Kasaye, Ashenafi, Melese, Lemi, Muleta, Lemesa, Mulugeta, Gersam, Taye, Seifu, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Gebreagziabher, Haile, Mhreteab, Kassa, Haftamu, Saddik, Mohammed, Mengist, Alemneh, Heikkinen, Juuso, Helminen, Olli, Huhta, Heikki, Kotkavaara, Tommi, Mosorin, Matti‐aleksi, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Sova, Henri, Tastula, Mikko, Virta, Ville P, Bettoni, Jérémie, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Breheret, Renaud, Fouquet, Olivier, Gueutier, Alexandre, Henric, Nicolas, Kahn, Alexis, Kün‐darbois, Jean‐daniel, Moukoko, Didier, Pineau, Anna, Podevin, Guillaume, Schmitt, Françoise, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Marie‐macron, Lysa, Doussot, Alexandre, Ahmed, Omar, Alnajjar, Louy, Mis, Tommaso Cipolat, Fliss, Souha, Giocanti‐auregan, Audrey, Gregory, Thomas, Guiraudet, Patrice, Le Fouler, Adrien, Martinod, Emmanuel, Onorati, Ilaria, Peretti, Marine, Quilichini, Julien, Radu, Dana, Trésallet, Tresallet, Andro, Christophe, Maffert, Alexis, Chapman, Tracy, Halden, Maxime, Fayon, Julie, Mattevi, Catherine, Marion, Herjean, Bendjemar, Lynda, Lionel, Charre, Mikhael, Elie, Macías, Rosa Montero, Villefranque, Vincent, Volpin, Enrico, Trilling, Bertrand, Boleslawski, Emmanuel, Constance, Houlzé‐laroye, Drubay, Vincent, El Amrani, Mehdi, Eveno, Clarisse, Lecolle, Katia, Martin, Louis, Noiret, Barbara, Piessen, Guillaume, Truant, Stephanie, Zerbib, Philippe, Aubry, Estelle, Denimal, Franck, Lamblin, Antoine, Barrat, Benjamin, Caire, François, Christou, Niki, Fourcade, Laurent, Laloze, Jerome, Bouv‐hez, Margaux Mekann, Salle, Henri, Taibi, Abdelkader, Tricard, Jeremy, Usseglio, Julie, Chopinet, Sophie, Gregoire, Emilie, Delpont, Marion, Blanchard, Claire, Crenn, Vincent, Vergie, Stéphane, Denis, Waast, Fragnaud, Henri, Regenet, Nicolas, Rigaud, Jerome, Varenne, Yoann, Anract, Philippe, Barat, Maxime, Biau, David, Dautry, Raphaël, Dohan, Anthony, Idier, Louis, Lang, Elena, Thouny, Camille, Tzedakis, Stylianos, Audenet, François, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Maisonneuve, Emeline, Nicolas, Beaud, Perrot, Ophelie, Prost, Doriane, Thomin, Anne, Thouement, Thouement, Athiel, Yoann, Berry, Richard, Boddaert, Guillaume, Bonnet, Stéphane, Cathala, Nathalie, Conso, Christel, Denet, Christine, Laforest, Anaïs, Levy‐zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Scamporlino, Adriana, Zadegan, Frederic, Amine, Chamakhi Ahmed, Baratte, Baratte, Chartier‐kastler, Emmanuel, Chereau, Nathalie, Colas, Pierre‐antoine, Duquesne, Igor, Genser, Laurent, Petit, Gaëlle Godiris, Goumard, Claire, Hasani, Ariola, Lim, Chetana, Martellotto, Sophie, Melot, Charlotte, Menegaux, Fabrice, Pinar, Ugo, Pocard, Marc, Roupret, Morgan, Scatton, Olivier, Seisen, Thomas, Séverine, Noullet, Turco, Célia, Chouillard, Elie, Beganton, Paul, Frasca, Denis, Kerforne, Thomas, Corbiere, Lisa, Gasmi, Anis, Ghemame, Marwane, Guérin, Sonia, Khene, Zine‐eddine, Livin, Marie, Mahmoud, Fedy, Maillot, Betty, Merdrignac, Aude, Mouriaux, Frederic, Robin, Fabien, Sulpice, Laurent, Vazeux, Charles, Bertheuil, Nicolas, Bonneau, Soline, Cazemajou, Clément Thierry, Cousin, Ianis, Defert, Coralie, Fustec, Elisa, Juricic, Melodie, Lavoue, Vincent, Mevel, Gwenaël, Timoh, Krystel Nyangoh, Renault, Annaëlle, Violas, Philippe, Schwarz, Lilian, Tuech, Jean Jacques, Morichau‐beauchant, Tristan, Sauvat, Frederique, Haddad, Elie, Vermersch, Sophie, Patrizi, Andrea, Roux, Alexia, Aimé, Adeline, Malgras, Brice, Cherkaoui, Zineb, D’Urso, Antonio, Felli, Emanuele, Gonzalez, Cristians Alejandro, Ignat, Mihaela, Mutter, Didier, Pessaux, Patrick, Vix, Michel, Gornes, Hugo, Vergriete, Kélig, Berthoumieu, Pierre, Genre, Ludivine, Le Gall, Hélène, Pierre, Trocard, Chalhoub, Marc, Del, Mathilde, Martinez, Alejandra, Fuchs‐buder, Thomas, Vancon, Antoine, Faya, Camara Abraham, Asaph, Elvam, Baruwa, Elisee, Hofman, Gwen, Machemedze, Solomon, Idiata, Michael Mayombo, Muhemi, Roger, Ndizeye, Olivier, Nkunzimana, Elysé, O’Connor, Jennifer, O’Connor, Zachary, Tchoba, Simplice, Boumas, Natacha, Devidze, Grigol, Pisarevi, Givi, Baumgarten, Sabine, Grüßer, Linda, Hölzle, Frank, Kowark, Pascal, Kowark, Ana, Rossaint, Rolf, Schäfer, Benedikt, Wallqvist, Julia, Winnand, Philipp, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Edlinger, Florian, Goßlau, Yvonne, Hyhlik‐duerr, Alexander, Maksymiw, Florian, Shiban, Ehab, Sommer, Florian, Sommer, Björn, Zerwes, Sebastian, Beyer, Katharina, Lauscher, Johannes Christian, Lee, Lucas D., Loch, Florian N, Schineis, Christian, Aghalarov, Ilgar, Belyaev, Orlin, Braumann, Chris, Enste, Annika, Fahlbusch, Tim, Herzog, Torsten, Horn, Julian, Jedanowski, Julia, Knipschild, Julia, Luu, Andreas Minh, Mohan, Prem Vignesh, Siemen, Leonie, Slobodkin, Illya, Strotmann, Johanna Josefine, Uhl, Waldemar, Wolf, Katerina, Coburn, Mark, Egger, Eva, Eichhorn, Klaus, Enderes, Jana, Far, Frederick, Franzen, Alina, Güresir, Erdem, Hadjiathanasiou, Alexis, Kalff, Jörg C., Kohistani, Zaki, Manekeller, Steffen, Mustea, Alexander, Probst, Chris, Randau, Thomas, Recker, Florian, Schuss, Patrick, Straßberger‐nerschbach, Nadine, Strieth, Sebastian, Treede, Hendrik, Beekum, Cornelius J., Vatter, Hartmut, Velten, Markus, Vilz, Tim O., Wirtz, Dieter, Wittmann, Maria, Behr, Michael, Bulian, Dirk Rolf, Marche, Benedikt, Moczko, Tobias, Otchwemah, Robin, Schulz, Sissy‐amelie, Thomaidis, Panagiotis, Bruns, Christiane, Cursiefen, Claus, Domröse, Christian, Fuchs, Hans, Heindl, Ludwig Maximilian, Mallmann, Michael R., Mallmann, Christoph, Ratiu, Dominik Alexander, Canzler, Ulrich, Distler, Marius, Korn, Sandra, Meisel, Cornelia, Meusel, Marcus, Petzold, Andrea, Praetorius, Christian, Renesse, Janusz, Weitz, Juergen, Wimberger, Pauline, Alkhanji, Nour, Fung, Stephen, Jaber, Kefah, Knoefel, Wolfram Trudo, Vay, Christian, Clonda, Octavian, Cottin, Tatiana, Juodiene, Evelina, Juodis, Domantas, Petrovic, Biljana, Solodarenko, Oleksandra, Binder, Johannes, Grützmann, Robert, Hackner, Danilo, Junker, Stefanie, Arsalan, Mani, Banek, Severine, Chun, Felix, Faqar‐uz‐zaman, Sara Fatima, Keese, Daniel, Kluth, Luis, Rolle, Udo, Van Linden, Arnaud, Walther, Thomas, Bayer, Jörg, Beck, Jürgen, Fung, Christian, Kraus, Luisa Mona, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schnell, Oliver, Schulte, Antonia, Strähle, Jakob, Jarmusch, Stefanie, Novotny, Helmut Franz Georg, Becker, Johannes, Fulghum, Christian, Gonschor, Bernhard, Herbolzheimer, Marit, Nicolaiciuc, Sina, Trulson, Alexander, Vogelsang, Holger, Zimmermann, Benno, Akbari, Amir Ali, Boening, Andreas, Edinger, Fabian, Hecker, Matthias, Knitschke, Michael, Koch, Christian, Reichert, Martin, Schmidt, Götz, Schneck, Emmanuel, Uhl, Eberhard, Nóbrega, Silvia Flachs, Kauffmann, Philipp, Miller, Clemens, Nemeth, Marcus, Sievers, Denise, Kisser, Ulrich, Kleeff, Jorg, Klose, Johannes, Lorenz, Kerstin, Papendick, Nancy, Plontke, Stefan, Seiwerth, Ingmar, Steer, Susanne, Thomssen, Christoph, Ukkat, Jörg, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Hanke, John, Klauke, Friederike, Leuschner, Sebastian, Mendel, Thomas, Müller, Katharina, Schmidt, Birte, Schreiter, Valentin, Stosberg, Peter, Vinz, Franziska, Herbig, Beate, Sander, Johannes, Schulte, Thilo Maria, Betz, Christian Stephan, Bewarder, Julian, Bier, Johannes, Böttcher, Arne, Burg, Simon, Busch, Chia‐jung, Bußmann, Lara, Gosau, Martin, Heuer, Annika, Izbicki, Jakob, Klatte, Till Orla, König, Daniela, Köpke, Leon‐gordian, Moeckelmann, Nikolaus, Praetorius, Mark, Priemel, Matthias, Stadlhofer, Rupert, Stangenberg, Martin, Uzunoglu, Faik G., Wittig, Lukas, Zech, Henrike, Zeller, Nina, Roux, Frederic, Spaeth, Tsiona, Fricker, Roland, Müller, Thomas, Schröder, Lars, Alasmari, Mohammed, Boeker, Clara, Hakami, Ibrahim Abdullah, Mall, Julian W, Kyritsis, Ioannis, Graeb, Christian, Huber‐strößner, Kristin, Branzan, Daniela, Doss, Markus, Gockel, Ines, Jödicke, Carolin, Osterhoff, Georg, Pempe, Christina, Sucher, Robert, Adler, Tina, Kelly, Kathrin, Merkle, Janica, Siebert, Julia, Hirche, Christoph, Kneser, Ulrich, Tapking, Christian, Agrawal, Rachit, Qureischie, Homeira, Croner, Roland, Koslowski, Lisa, Krause, Hardy, Meyer, Frank, Turial, Salmai, Al‐nawas, Bilal, Battista, Marco Johannes, Goedeke, Jan, Hasenburg, Annette, Heider, Julia, Mueller, Lena Katharina, Zeller, Simon, Jentschura, Sina Louisa Patrizia, Kowalewski, Karl‐friedrich, Kriegmair, Maximilian, Männle, David, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Kirschniak, Andreas, Rolinger, Jens, Wilhelm, Peter, Bader, Franz G., Ottl, Stephanie, Behr, Alexandra Viktoria, Diamantis, Alexandros, Fichter, Andreas, Grill, Florian, Heck, Matthias, Jira, Daniel, Kallmayer, Michael, Koll, Florestan, Luhne, Stefan, Meyer, Bernhard, Patachia, Robert, Pergolini, Ilaria, Safi, Seyer, Schäffer, Christoph, Schirren, Moritz, Wegmann, Helmut, Wirth, Markus, Zhu, Zhaojun, Aghamaliyev, Ughur, Almaghrabi, Mahmoud, Böcker, Wolfgang, Bruder, Jan, Frank, Konstantin, Herterich, Viktoria, Huber, Verena, Ilmer, Matthias, Kammerlander, Christian, Neuerburg, Carl, Ehrlich‐treuenstätt, Viktor H., Werner, Jens, Börner, Nikolaus, Fegg, Florian, Hartmann, Daniela, Ladurner, Roland, Liokatis, Paris, Patzer, Kathrin, Schlager, Justin Gabriel, Smolka, Wenko, Zimmermann, Petra, Hatz, Rudolf, Steinhart, Diana, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Steiner, Martin, Hölz, Katharina, Knorr, Christian, Kuehlmann, Britta, Oikonomou, Kyriakos, Prantl, Lukas, Flurschütz, Roland, Honarpisheh, Human, Kröger, Marie, Lepiorz, Dominic, Luths, Charlotte, Niemeier, Andreas, Sras, Yara, Strate, Tim, Winter, Thore, Freiman, Thomas, Gessler, Florian, Won, Sae‐yeon, Widyaningsih, Rizky, Hoffmann, Sebastian, Schäfer, Ruth Christine, Thiel, Johannes Tobias, Bertolani, Elisa, Steidle, Christoph, Überrück, Lisa, Yurttas, Can, Ziegler, Patrick, Zimmermann, Alexander, Bolenz, Christian, Dayan, Davut, Greve, Jens, Hoffmann, Thomas K., Janni, Wolfgang, Löbig, Niklas, Schochter, Fabienne, Vahl, Julius Malte, Wezel, Felix, Greif, Veronika, Schmidbauer, Stefan, Marsch, Imke, Schneider, Rolf, Boenicke, Lars, Degener, Stephan, Dreger, Nici Markus, Horstmeier, Franz Christian, Kruschwitz, Jakob, Rombach, Adrian, Schmidt, Nele, Seiberth, Rose, Singh, Jaswinder, Smit, Marieke, Rundstedt, Friedrich‐carl, Zirngibl, Hubert, Diessner, Joachim, Friedrich, Sabine, Germer, Christoph‐thomas, Helmer, Philipp, Herrmann, Johannes, Kranke, Peter, Kübler, Hubert, Lock, Johan, Lotz, Christopher, Meffert, Rainer, Meybohm, Patrick, Müller, Sophie, Notz, Quirin, Popp, Maria, Schlegel, Nicolas, Schlesinger, Tobias, Schmid, Benedikt, Sitter, Magdalena, Steinisch, Andreas, Treutlein, Agnes, Berg, Anne, Wurmb, Thomas Erik, Agyeman‐duah, Nana Kwaku, Appiah, Enoch, Armah, Ralph, Asare, Christopher, Awere‐kyere, Lawrence, Daary, Dennis, Gakpetor, Delali, Allah, Stephen Minlah, Obbeng, Ambe, Osei‐poku, Dorcas, Puozaa, Diana, Tackie, Enoch, Adu‐aryee, Nii Armah, Agboadoh, Nelson, Asare, Offei, Bowan, Antoinette Bediako, Brown, George Darko, Clegg‐lamptey, Joe‐nat, Dedey, Florence, Dery, Cedric, Fenu, Benjamin Sena, Harrison, Marian Abedua, Kumassah, Philemon, Kuuzie, Ekins, Nsaful, Josephine, Olayiwola, David Olatayo, Smith, Cecilia, Banka, Charles, Hussey, Romeo, Azize, Diallo Abdoul, Aniakwo, Luke Adagrah, Adofo‐asamoah, Yvonne, Agbeno, Evans Kofi, Agyapong, Meshach Manu, Agyen, Thomas, Mensah, Kwasi Agyen, Alhassan, Baba Alhaji Bin, Amoako‐boateng, Mabel, Appiah‐thompson, Peter, Gyimah, Nita Asamoa‐Manu, Asante‐bremang, Moses, Asante‐asamani, Alvin, Atawurah, Henry, Appiah, Anthony Baffour, Baidoo, Richard Ogirma, Baidoo, Ebikela Ivie, Boakye, Benedict, Boateng, Abigail, Dadoe, Dora, Dayie, Makafui Seth Caleb‐Joshua Kwasi, Debrah, Samuel, Doku, Kingsley, Enti, Enti, Ken‐amoah, Sebastian, Koggoh, Patience, Kpangkpari, Richard, Maison, Patrick, Mensah, Samuel, Mensah, Philip, Mensah, Teresa Aba, Morna, Martin Tangnaa, Nimako‐mensah, Jilac, Nkrumah, John, Nortey, Michael, Ofori, Emmaunel Owusu, Opandoh, Isabella Naa Morkor, Osei‐tutu, Ethel, Adae, Jefferson Owusu, Quansah, Kofi, Quartson, Elizabeth, Rahman, Ganiyu Adebisi, Walawah, David, Yigah, Makafui, Yussif, Safia, Jiagge, Nuna, Nachelleh, Emmanuel, Acquaye, Jane, Agbedinu, Kwabena, Agyei, Fareeda, Agyemang‐prempeh, Akosua, Amo‐antwi, Kwabena, Amoah, Michael, Amoah, George, Amoako, Yaw A, Aning, Daniel Gyawu, Ankobea‐kokroe, Frank, Mintah, Dominic Annor, Anyitey‐kokor, David, Appiah‐kubi, Adu, Arthur, Joshua, Ativor, Vincent, Barnor, Isaac, Braimah, Yasmine, Darko‐asante, Regina, Davor, Anthony, Issahalq, Mohammed Duah, Dzogbefia, Mawutor, Emile, Tano, Fiifi‐yankson, Papa, Gaveh, Valerie, Gudugbe, Senyo, Gyabaah, Solomon, Gyamfi, Frank Enoch, Gyedu, Adam, Gyimah, Derrick, Hammond, Bernard, Jonathan, Boakye‐yiadom, Joseph, Yorke, Konney, Thomas Okpoti, Konney, Anna, Kusi, Kwasi, Kyei, Ishmael, Lovi, Agbenya, Naabo, Nuhu, Nimako, Boateng, Nyadu, Beauty, Nyarko, Obed Ofori, Ofosu‐barko, Ben Blay, Oppong, Philip Peprah, Osabutey, Anita, Poku, Martha, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abass, Adam, Abdul‐mumin, Alhassan, Adjeso, Theophilus, Alatiiga, John Abanga, Amadu, Munira, Annan, Nathaniel, Leal, German Azahares, Bukari, Mohammed, Buunaaim, Alexis, Cheyuo, Ernest, Salifu, Latif Daboo, Damah, Michael, Dery, Malcolm, Dzantor, Edem Kojo, Garcia, Odoniel Guerra, Baba, Yabasin Iddrisu, Issaka, Adamu, Muntaka, Abdul‐Jalilu Mohammed, Murphy, James, Agyeman, Yaa Nyarko, Amankwaa, Wisdom Opoku, Osman, Imoro, Pie, Samuel, Seidu, Anwar Sadat, Sheriff, Mohammed, Charadan, Ana Maria Simono, Titigah, Abraham, Yahaya, Mundashiru, Yakubu, Musah, Yenli, Edwin Mwintiereh Ta‐ang, Grypiotis, Ioannis, Kiriakopoulos, Nikolaos, Koliopoulos, Georgios, Kyvelos, Vasilis, Micha, Georgia, Papadopoulou, 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Manatakis, Dimitrios K., Stamos, Nikolaos, Tasis, Nikolaos, Arkadopoulos, Nikolaos, Danias, Nikolaos, Economopoulou, Panagiota, Frountzas, Maximos, Kokoropoulos, Panagiotis, Michalopoulos, Nikolaos, Selmani, Jonida, Sidiropoulos, Theodoros, Vassiliu, Panteleimon, Paraskevas, Kosmas I., Bartziotas, Dimitrios, Bouchagier, Konstantinos, Galanis, Ilias, Kalamatianos, Theodosis, Kapiris, Stylianos, Kolinioti, Angeliki, Mavrodimitraki, Eleni, Metaxas, Panagiotis, Nikova, Alexandrina, Psarologos, Michail, Sotiropoulou, Maria, Stranjalis, George, Albanopoulos, Konstantinos, Kondilis, Panagiotis, Vrakopoulou, Gavriella Zoi, Chrysovergis, Aristeidis, Chrysovitsiotis, Georgios, Giotakis, Evangelos, Kanellopoulou, Vasiliki, Kyrodimos, Efthymios, Larentzakis, Andreas, Pantos, Pavlos, Papanikolaou, Vasileios, Potamianos, Spyridon, Theodoropoulos, Charalampos, Triantafyllou, Alexandra, Triantafyllou, Tania, Georgousi, Kleoniki, Panagiotou, Peter, Avramidis, Emmanouil, Babis, George, Zafeiris, 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Tulio Torres, Villeda, Sergio Alejandro, Anicetti, Joshua, Medina, Andrea Michelle Lowey, Ardebol, Javier, Barillas, Kathia, De Leon, Francis, Recinos, Salvador, Marroquin‐alpirez, Miguel‐angel, Yax, Yessica, Hon, Sophie, Liu, Yuk Ho, Liu, Alex Qinyang, Liu, Shirley, Chiu, Hei Tung Natalie, Chow, Chi Man Tom, Hau, Victor, Ho Wai, Ip, Mak, Brian, Mok, Chung Ying, Dennis, Ng, Siu, Yin Yu Eva, Wong, Kiu Fung, Jingya Jane, Pu, Yu‐xiong, Su, Au‐yeung, Kit Ying, Chan, David Yuen Chung, Chan, Albert, Chan, Shannon Melissa, Chang, Tsz Ching, Chiu, Tor Wo, Chiu, Wang Kei, Zhexi, He, Man Fung, Ho, Kevin Ki Wai, Ho, Jacky Yan Kit, Ho, Kung, Janet Wui Cheung, Lam, Cheuk Ho, Lau, Rainbow W. H., Ling, Samuel Ka Kin, Lok, Hon Ting, Mak, Tony Wing Chung, Chi‐fai, Ng, Simon, Ng, Kelvin Kwok‐Chai, Ng, Calvin S. H., Ng, Ong, Michael Tim Yun, Tan, Teresa, Tang, Sui Fan, Teoh, Jeremy Yuen‐Chun, Teoh, Anthony, Tsui, Bess Siu Yan, Wong, George Kwok Chu, Wong, Randolph, Wong, Kwok Chuen, Yee, Chi Hang, Antal, Zsuzsanna, Kalman, Attila, Voros, Peter, Bahrehmand, Kiarash, Echim, Timea, Novak, Zoltan, Sztipits, Tamás, Bihari, Laszló ádám, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Sotonyi, Peter, Szatai, Lilla, Herczeg, György, Pordány, Bálint, Tornyi, Fanni, Dede, Kristof, Egyed, Tamás, Saftics, György, Kulcsicka‐gut, Judit, Sipos, Zsófia, Toth, Dezso, Patel, Bhavin, Majmudar, Hardil, Mankad, Saptak, Pathan, Sohilkhan, Sharathkumarkl, L, Sasatti, Lokesh, Mahankali, Subramanyam, Annayappa, Santhosh Kumar Sampengere, Agrawal, Tulika, Anandan, Premkumar, Baindur, Aditya, Manjunath, Bd, Savitha, C, Anitha, G S, Harigond, Sandeep, Tejeswini, K K, Kesarla, Venkatesh, Manangi, Mallikarjuna, Hareesh, P B, Ranjan, Jyothi K R, Shetty, Athish, Chikkanayakanahalli, Santhosh Shivashankar, Sunil, Tanvi, Syamala, Shreya, Tharanath, Kavya, Atal, Aditya, Rajagopal, Niranjana, Srinath, B S, Vinod, Nk, Thirumanikandan, P L, Mishra, Nitu, Shrivastava, Sushruta, Wadhwani, Rekha, Ahmad, Reyaz, Haq, Zainab Ahmad, Behera, Prateek, Dhurwe, Ritika, Haq, Rehan, Jain, Vaibhav, Jain, Anuj, Karna, Sunaina, Pushpalatha, Kameshwarachari, Raj, Sumit, Santoshi, John Ashutosh, Singh, Pooja, Verma, Virendra, Waindeskar, Vaishali, Yadav, Moorat Singh, Aziz, Zaheda, Chakraborty, Koyel, Chappity, Preetam, Das, Gurudip, Datta, Debajyoti, Jena, Saubhagya Kumar, Kar, Madhabananda, Khuntia, Susanta, Kumar, Pankaj, Kumar, Ravi, Aswathi, Kv, Mishra, Abhijeet, Mishra, Swastik, Mittal, Yash, Muduly, Dillip, Panda, Ritesh, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Rout, Bikram, Sahu, Rabi, Sarkar, Saurav, Singh, Sweta, Sudha, Sanjibani, Sultania, Mahesh, Tripathy, Sujit, Varghese, Paulson, Kansay, Rajeev, Kaushik, Robin, Singh, Simrandeep, Gupta, Sunil Kumar, Khare, Siddhant, Kumar, Vishal, Mohindra, Sandeep, Patil, Ninad, Salunke, Pravin, Savlania, Ajay, Singh, Kavindra, Pradeep Krishna, Rv, Narasimhan, Gomathy, Rela, Mohamed, Appukuttan, Akhila, Goudar, Swati, Mallick, Shweta, Titus, Christi, Chidambarasamy, Ezhir Selvan, Madhavan, Devdas, Murugesan, Anandan, Narayanasamy, Kuppurajan, Barani Kumar, P B, Rajan, Firoz, Vijayaragavan, Paari, Kumar, Arvind, Borthakur, Biplob, Chauhan, Tapan Singh, Govil, Akhil, Gupta, Shubhra, Hanjoora, Vijay Mohan, Sharma, Ashish, Srivastava, Aseem, Tiwari, Saurabh, Vishwani, Vartika, Pendyala, Karuna Sree, Prasad, Navakoti, Bothra, Jyoti, Deb, Mainak, Herle, Koushik, Jayaram, Harish, Kannaiyan, Lavanya, Krithiga, Abirami, Mukta, W, Nagpal, Pooja, Pathak, Prachi, Banerjee, Sumit, Chaudhary, Ramkaran, Choudhary, Gautam Ram, Chugh, Ankita, Dixit, Pawan, Elhence, Abhay, Gahlot, Nitesh, Garg, Mayank, Ghuman, Navdeep Kaur, Jha, Deepak, Kala, Prakash, Kaur, Amanjot, Madduri, Vijay, Pandey, Himanshu, Pareek, Puneet, Pathak, Manish, Rathod, Kirtikumar J, Rodha, Mahaveer Singh, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Singh, Mahendra, Singh, Pratibha, Suryanarayanan, Bhaskar, Vishnoi, Jeewan Ram, Amin, Shivang, Kumar, Rohit, Sharma, Tanishq, Murugesan, Kesavan, Ramasamy, Abhinav Balachandar Subbiah, Chatterjee, Debarshi, Gerber, C Gerber, Naskar, Upasana, Aggarwal, Gaurav, Agrawal, Sanjit Kumar, Ahmed, Azaz, Gupta, Sujoy, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Pipara, Amrit, Priya, Noopur, Raja, Roopak, Shakya, Sudip, Thambudorai, Robin, Kharkongor, Dimple, Agarwal, Anjoo, Akhtar, Naseem, Anand, Akshay, Asnani, Mona, Chaturvedi, Arun, Chaurasia, Akhilanand, Enny, Loreno E., Garg, Surabhi, Gupta, Sameer, Jaiswal, Anoop Kumar, Jaiswal, Somil, Jaware, Yashpal, Kala, Navneet, Karnatak, Ruchi, Kaur, Apjit, Kumar, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Shrivastava, Amit Kumar, Mehrotra, Seema, Mishra, Brijesh, Mishra, Anand, Namrata, Null, Ojha, Bal Krishna, Ozair, Ahmad, Pal, Uma Shanker, Pandey, Amita, Raja, Nancy, Ramakant, Pooja, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Satyanarayan, Sankhwar, Pushp, Sarin, Divya, Shukla, Ayushi, Singh, Sushil, Singh, Mohit, Singh, Kul Ranjan, Singh, Renu, Singh, Uma, Singh, Urmila, Solanki, Vandana, Sonkar, Abhinav Arun, Srivastava, Chhitij, Suryawanshi, Parijat, Tewarson, Vivek, Verma, Rajat, Verma, Manju Lata, Yadav, Awdhesh, Chand, Gyan, Chanthar, K. M. M. 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Priyadarshini, Suganya, S, Samuel, Habie, Samuel, Gilbert, Selvaraj, Daniel, Sharma, Srujan, Surendran, Suraj, Hariharan, T D, Thangaraj, Santhosh Kumar, Thomas, Vinotha, Thomas, Varghese, Thomas, John K, Harish, Y S, Boggavarapu, Manobhiram, Voonna, Murali Krishna, Lolobali, Marilaeta Cindryani, Ryalino, Christopher, Senapathi, Tjokorda Gde Agung, Tjokorda, Mahadewa, Widnyana, I Made Gede, Aditianingsih, Dita, Auerkari, Aino, Chandra, Susilo, Damara, Fachreza Aryo, Dilmy, Mohammad Adya Firmansha, Harzif, Achmad Kemal, Manggala, Sidharta Kusuma, Pratama, Dedy, Priyambodo, Affan, Ramlan, Andi Ade, Soenarto, Ratna Farida, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Tantri, Aida Rosita, Zahra, Raihanita, Fachrian, Dedy, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Pajan, Hendra, Amrullah, Ahmad Hannan, Anam, Khoirul, Hadipranata, Thirza, Sugianto, Julius Albert, Fitrisyah, Aidyl, Lestari, Mayang Indah, Lubis, Nur Rachmat, Zainal, Rizal, 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Imani, Bini, Shahrokh Jahan, Koosha, Mohsen, Moslemi, Mohammad Kazem, Naghibi, Ali, Tehrani, Shahrzad, Yazdi, Zahra, Adeli, Seyyed Hassan, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Manesh, Hassan Fatemi, Ghomeisi, Mohammad, Hejazi, Seyed Fakhreddin, Madani, Saeed, Motahaver, Nima Najafian, Norouzi, Samieh, Modarres, Mahdi Pezeshki, Shafiee, Ali, Vafaeimanesh, Jamshid, Yusefi, Hossein, Hosseini, Elahe, Medhati, Pourya, Nikoupour, Hamed, Aghazadeh, Kayvan, Bastaninejad, Shahin, Dabirmoghaddam, Payman, Erfanian, Reza, Firouzifar, Mohammadreza, Heidari, Farrokh, Irani, Shirin, Karimi, Ebrahim, Kouhi, Ali, Zarandy, Masoud Motasaddi, Anari, Mahtab Rabbani, Sandoughdaran, Saleh, Sohrabpour, Saeed, Tajdini, Ardavan, Yazdani, Nasrin, Bagheri, Nima, Javadi, Seyed Amir, Kalantar, Seyed Hadi, Keneshlou, Farzaneh, Khan, Zahid Hussain, Mortazavi, SM Javad, Ahmadi, Sayedali, Hatam, Jaber, Nabian, Mohammad Hossein, Zanjani, Leila Oryadi, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Shafiei, Seyyed Hossein, Siavashi, Babak, Al‐isawi, Ali, Al‐masood, Mohammed, Al‐najjar, Dania, Gahtan, Yarub, Nabil, Sara, Hameed, Najat Abdul, Hameed, Jumana Abdul, Ahmed, Abdullah, Akadh, Ali, Hussein, Rand, Aljebur, Abbas, Hassan, Sadik, Ali, Haithem Hussein, Al‐hasani, Fahad, Ibrahim, Mustafa Wameedh, Saeed, Mubder Mohammed, Muhssein, Haidar, Akindoyin, Success, Barry, Stevie, Dewan, Nikhil, Ekwere, Bosom, Essajee, Murtaza, Langhe, Ream, Marshall, Calista, Musa, Darya, Ahmad, Zeeshan, Andrews, Emmet, Chin, Bruno Chan, Corrigan, Mark, Murphy, Amy Edwards, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Hsiao, Michelle, Kayyal, Mohd Yasser, Killeen, Shane, Lyons, Maria, Burke, Cathy, Hewitt, Matt, Mohamed, Marwa, Nazir, Syeda Farah, Mei Yee, Ng, Wahab, Nor Azlia Abdul, Monteith, Cathy, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Corr, Paula, Crone, Lauren, Harris, Johnathon, Hill, Arnold, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Ryan, James, Hehir, Mark Philip, Regan, Carmen, Geary, Michael, Malone, Fergal, Mccarthy, Claire, O’Connor, Donal B, Considine, Shane, Donohoe, Emma, Herron, Caroline, Larkin, John, Lynch, Thomas Hugh, Maguire, Barry, Manecksha, Rustom, Carthy, Andrea Mc, Nagassima, Katharina, O’Sullivan, Erica, Rohan, Pat, Roopnarinesingh, Ryan, Salloum, Salloum, Aherne, Thomas, Barry, Mary, Bowen, Gareth John, Boyle, Ellen, Dowdall, Joseph, Hanly, Ann, Hassanin, Ahmed, Heneghan, Helen, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Martin, Sean T, Masarani, Nawar, Mccartan, Damian, Mcdermott, Enda W, Murphy, Ben, Kin Cheung, Ng, Njeze, Nwabundo, O’Neill, Aine, Prichard, Ruth S, Quirke, Ned, Reynolds, Ian Sean, Winter, Des, Casey, Rowan, Elamin, Mutaz, Gillis, Amy, Kavanagh, Dara, Kelly, Michael, Mcnamee, Áine, Neary, Paul, Owens, Patrick, Ravi, Akshaya, Ridgway, Paul, Carroll, Paul, Collins, Chris, Dhannoon, Amenah, Fowler, Amy, Hogan, Aisling, Lowery, Aoife, Mcanena, Peter, Timon, Charlie, Walsh, Stewart, Al‐ramli, Wisam, Azeem, Imran, Bahadoor, Muhammad Usaama, Bodnar, Zsolt, Elmusharaf, Hassan, Hassan, Faisal Saeed, Hingum, Adam, Huan, Huilun, Jennings, Seamus, Khalid, Mohamed Hamed, Kuteva, Mariya, Mujtaba, Syed Nadeem, Peeriyah, Shanell, Rehman, Hina, Sarwar, Muhammad Assam, Shaju, Tony, Stephens, Ian, Sugrue, Michael, Thomas, Joseph, Varzgalis, Manvydas, Zeeshan, Saqib, Jaffer, Alisha, Jones‐whiting, Larne, Peirce, Colin, Johnston, Sean, Lim, Seantee, Abdelgadir, Alwaleed, Al‐mukhaizeem, Youssef, Cooke, Fiachra, Crowley, Clare, Cullen, Ivor, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Martinez, Claudia Guerrero, Hamza, Mohamed Alfatih, Hassan, Mekki, Hegazy, Ibrahim, Hill, Rhodri, Kazim, Amr, Khalid, Azriny Shaziela, Khalid, Muhammad Abdullah, Majeed, Zubair, Manning, Aidan, Mccullough, Peter, Murphy, Seamus, Neary, Peter, Noone, Anthony, O’Donoghue, Gerrard, O’Kelly, John, Odonnell, Eddie, Osman, Elaf, Ryan, Jessica, Saeed, Rafeh, Arar, Ahmad Abo, Abed, Arsan Abu, Dykman, Daniel, Elnassasra, Ahmad, Gatot, Inbar, Gavriel, Haim, Gold‐deutch, Ruthie, Haim, Nadav, Hammerschlag, Jonathan, Hershkovitz, Yehuda, Jaber, Ahmad, Kenoshi, Adi, Lavy, Ron, Majadla, Omar, Muallem‐kalmovich, Limor, Nativ, Hilli, Rabin, Igor, Sandler, Yael, Zmora, Osnat, Bala, Miklosh, Demma, Yonatan Avraham, Fishman, Yuri, Marom, Gad, Avni, Naor, Carmel, Ofra, Farkas, Amicur, Freund, Michael Ron, Gonen, Lior, Gozal, Yaacov, Greenman, Dmitry, Kocherov, Stanislav, Margalit, Nevo, Shick, Orit Nahtomi, Ostrovsky, Israel Alexander, Pardes, Rivka, Perets, Michal, Shahar, Tal, Shapiro, Henry, Tankel, James, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Balercia, Paolo, Catarzi, Lisa, Consorti, Giuseppe, Cianci, Pasquale, Gattulli, Domenico, Minafra, Marina, Restini, Enrico, Andolfi, Enrico, Annino, Filippo, Barbara, Frezza, Biancafarina, Alessia, Bussolin, Edoardo, De Prizio, Marco, Gjondedaj, Ulpjana, Gubbiotti, Marilena, Mura, Gianni, Pellicano, Giuseppe Antonino, Pirola, Giacomo Maria, Sulce, Rezart, Martines, Gennaro, Papagni, Vincenzo, Picciariello, Arcangelo, Magnone, Stefano, Pisano, Michele, Poiasina, Elia, Alberici, Laura, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Bernante, Paolo, Bertoglio, Pietro, Bianchi, Lorenzo, Bisulli, Maria, Bonfanti, Barbara, Boussedra, Safia, Brandolini, Jury, Cacciapuoti, Crescenzo, Cardelli, Stefano, Casadei, Riccardo, Cescon, Matteo, Cipolli, Alessandro, Cipriani, Riccardo, Contu, Luca, Costa, Francesco, Daddi, Niccolo, De Crescenzo, Eugenia, De Iaco, Pierandrea, De Palma, Alessandra, Del Gaudio, Massimo, Gatta, Anna Nunzia Della, Dolci, Giampiero, Dondi, Giulia, Droghetti, Matteo, Parri, Sergio Nicola Forti, Garelli, Elena, Gelati, Chiara, Germinario, Giuliana, Giorgini, Federico A., Ingaldi, Carlo, Jovine, Elio, Kawamukai, Kenji, Lanci, Antonio Lanci, Lombardi, Raffaele, Miralles, Maria Elisa Lozano, Marchetti, Claudio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Parlanti, Daniele, Pellegrini, Alice, Perrone, Anna Myriam, Pezzuto, Anna Paola, Pignatti, Marco, Pilu, Gianluigi, Pinto, Valentina, Poggioli, Gilberto, Puglisi, Silvana Bernadetta, Raimondo, Diego, Ravaioli, Matteo, Ricci, Claudio, Ricciardi, Sara, Ricotta, Francesco, Rizzo, Roberta, Romano, Angela, Rottoli, Matteo, Schiavina, Riccardo, Seracchioli, Renato, Serenari, Matteo, Serra, Margherita, Solli, Piergiorgio, Sorbi, Gioia, Taffurelli, Mario, Tanzanu, Marta, Tarsitano, Achille, Tesei, Marco, Vago, Gabriele, Violante, Tommaso, Zanotti, Simone, Aspide, Raffaele, Bertolini, Giacomo, Bortolotti, Carlo, Carretta, Alessandro, Caruso, Ambra, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Mazzatenta, Diego, Pirina, Alessandro, Rosetti, Vittoria, Sturiale, Carmelo, Vincenzi, Matteo, Zoli, Matteo, Castagnini, Francesco, Donati, Davide Maria, Frisoni, Tommaso, Lucchini, Stefano, Palmerini, Emanuela, Traina, Francesco, Baietti, Anna Maria, Berselli, Bruno, Bolognesi, Silvia, Fabbri, Erich, Farnia, Francesco, Maremonti, Pietro, Marganella, Concetta, Pasquini, Ernesto, Piserchia, Vito Antonio, Prucher, Gian Marco, Razzaboni, Alessandra, Ricci, Silvia, Sollini, Giacomo, Testoni, Caterina, Hilal, Mohammed Abu, Graaf, Nine, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Cagnazzi, Elena, D’Alessio, Rossella, Doglietto, Francesco, Ferrari, Federico, Fontanella, Marco, Igor, Batog, Molfino, Sarah, Odicino, Franco, Panciani, Pier Paolo, Saraceno, Giorgio, Sartori, Enrico, Zanin, Luca, Esposito, Giuseppe, Frongia, Federica, Pisanu, Adolfo, Podda, Mauro, Cillara, Nicola, Putzu, Alessandro Cannavera, Sechi, Raffaele, Abate, Emmanuele, Casati, Massimiliano, Laface, Letizia, Schiavo, Marcello, Marino, Fabio, Perrone, Fabrizio, Annicchiarico, Paolo, Cappellani, Alessandro, Cavallo, Matteo, Giaquinta, Alessia, Gioco, Rossella, Veroux, Massimiliano, Veroux, Pierfrancesco, Zanghì, Antonino, Cianci, Antonio, Giudice, Arturo Lo, Matarazzo, Maria Grazia, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, Carpino, Antonio, Cristofaro, Maria Giulia, De Paola, Gilda, Giannaccare, Giuseppe, Novembre, Daniela, Sammarco, Giuseppe, Scorcia, Vincenzo, Angeli Christy, Yu, D’Andrea, Marcello, Mongardi, Lorenzo, Tosatto, Luigino, Barone, Mirko, Mucilli, Felice, Muraglia, Angelo, Caserini, Ottavia, Giuliani, Domenico Benvenuto, Monti, Marco, Morello, Alessia, Segalini, Edoardo, Borghi, Felice, Cianflocca, Desiree, Daniele, Alberto, Donati, Danilo, Gelarda, Enrico, Giraudo, Giorgio, Giuffrida, Maria Carmela, Marano, Alessandra, Olearo, Elena, Ciarello, Vincenzo Pruiti, Puppo, Andrea, Testa, Valentina, Giacometti, Marco, Zonta, Sandro, Monti, Eleonora, Porta, Andrea, Sambucci, Daniele, Birindelli, Arianna, Carrara, Barbara, Compagnoni, Bruno, Del Giudice, Roberto, Dester, Sara Elisabetta, Lomiento, Daniele, Ruggiero, Silvia, Taglietti, Lucio, Viotti, Fabio, Lacavalla, Domenico, Occhionorelli, Savino, Rubbini, Michele, Bernabei, Massimiliano, Fabbri, Nicolò, Fazzin, Marta, Feo, Carlo V., Torchiaro, Marco, Costi, Renato, Virgilio, Edoardo, Arlia, Lorenzo, Barbato, Giuseppe, Bartolini, Ilenia, Bottari, Andrea, Bruno, Chiara, Bruscino, Alessandro, Checcucci, Carlotta, Cianchi, Fabio, Coratti, Francesco, De Vincenti, Rosita, Di Bella, Annamaria, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Gigliucci, Giacomo, Locatello, Luca Giovanni, Maltinti, Gherardo, Martellucci, Jacopo, Prosperi, Paolo, Ringressi, Maria Novella, Sorbi, Flavia, Staderini, Fabio, Taddei, Antonio, Anastasi, Alessandro, Canonico, Giuseppe, Chisci, Emiliano, Gabellini, Linda, Masciello, Fabrizio, Michelagnoli, Stefano, Nelli, Tommaso, Tirloni, Luca, Alemanno, Giovanni, Arminio, Armando, Beck, Renata, Bergamini, Carlo, Cotoia, Antonella, Lizzi, Vincenzo, Maccagnano, Giuseppe, Pesce, Vito, Sarni, Antonio Luciano, Tartaglia, Nicola, Vovola, Fernanda, Avanzolini, Andrea, Bocchino, Antonio, Bova, Raffaele, Cavaliere, Davide, D’Acapito, Fabrizio, Ercolani, Giorgio, Fappiano, Francesca, Pacilio, Carlo Alberto, Solaini, Leonardo, D’Andrea, Giancarlo, Lavalle, Laura, Picotti, Veronica, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Diaz, Raquel, Ferrero, Simone, Fregatti, Piero, Gustavino, Claudio, Iester, Michele, Kratochwila, Chiara, Massobrio, Andrea, Pertile, Davide, Scabini, Stefano, Scovazzi, Umberto, Soriero, Domenico, Sparavigna, Marco, Traverso, Carlo, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, D’Ugo, Stefano, Depalma, Norma, Spampinato, Marcello Giuseppe, Airoldi, Angelo, Brivio, Ariberto, Chiarelli, Marco, Gibelli, Ludovica, Giulia, Bonfanti, Grandi, Samuele, Pesenti, Giovanni, Tagliabue, Fulvio, Zago, Mauro, Lenzi, Riccardo, Matteucci, Jacopo, Muscatello, Luca, Colletti, Gaia, Confalonieri, Marco Guido, Costanzi, Andrea, Frattaruolo, Colomba, Locatelli, Andrea, Monteleone, Michela, Badessi, Giorgio, Caffo, Maria, Caruso, Gerardo, Cucinotta, Eugenio, Germano, Antonino Francesco, Mazzeo, Carmelo, Bertoglio, Camillo Leonardo, De Martini, Paolo, Ferrari, Giovanni, Giani, Alessandro, Lombardi, Pietro Maria, Mazzola, Michele, Baldari, Ludovica, Bissacco, Daniele, Boni, Luigi, Cassinotti, Elisa, Domanin, Maurizio, Pignataro, Lorenzo, Torretta, Sara, Trimarchi, Santi, Armellin, Daniele, Basato, Silvia, Bernardi, Laura, Bunino, Francesca, Capretti, Giovanni, Carrano, Francesco Maria, Castoro, Carlo, Colombo, Giovanni, Costantino, Andrea, De Lucia, Francesca, De Virgilio, Armando, Di Bari, Matteo, Ferreli, Fabio, Gaino, Francesca, Gramellini, Marco, La Raja, Carlotta, Malvezzi, Luca, Marano, Salvatore, Mercante, Giuseppe, Milana, Flavio, Nappo, Gennaro, Peros, Georgios, Pirola, Francesca, Rossi, Vanessa, Russo, Elena, Spriano, Giuseppe, Tamburello, Sara, Zerbi, Alessandro, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Adamoli, Laura, Ansarin, Mohssen, Bertolaccini, Luca, Cenciarelli, Sabine, Chu, Francesco, De Berardinis, Rita, Romario, Uberto Fumagalli, Pietrobon, Giacomo, Sedda, Giulia, Spaggiari, Lorenzo, Tagliabue, Marta, Ardito, Antonella, Caputo, Maria, Cellerino, Paola, D’Alessandro, Valentina, Galfrascoli, Elisa, Giusti, Maria Paola, Lotti, Marco, Santambrogio, Roberto, Zappa, Marco Antonio, Bondurri, Andrea, Bonomi, Alessandro Michele, Colombo, Francesco, Crespi, Michele Achille, Danelli, Piergiorgio, Epifani, Angelo Gabriele, Ferrario, Luca, Frontali, Alice, Guerci, Claudio, Maffioli, Anna, Ferrara, Francesco, Aldrighetti, Luca Antonio, Baccellieri, Domenico, Bertoglio, Luca, Bonavina, Giulia, Candiani, Massimo, Candotti, Giorgio, Casiraghi, Arianna, Castellano, Laura Mariangela, Cavoretto, Paolo Ivo, Chiesa, Roberto, Cipriani, Federica, De Nardi, Paola, Fiorentini, Guido, Gagliardi, Filippo, Galdini, Alessandro, Grandi, Alessandro, Marotta, Elena, Massaron, Simonetta, Melloni, Andrea, Mortini, Pietro, Nocera, Gianluca, Piloni, Martina, Pozzoni, Mirko, Ratti, Francesca, Rosati, Riccardo, Ruffolo, Alessandro Ferdinando, Sileri, Pierpaolo, Spina, Alfio, Vignali, Andrea, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Di Tomasso, Nora, Fresilli, Stefano, Landoni, Giovanni, Lazzari, Stefano, Lombardi, Gaetano, Marmiere, Marilena, Monaco, Fabrizio, Todaro, Gabriele, Turi, Stefano, Zangrillo, Alberto, Bertolina, Francesca, Bogani, Giorgio, Bonomi, Stefano, Cadenelli, Pierfrancesco, Chiappa, Valentina, Cioffi, Stefano Piero Bernardo, Citterio, Davide, Comini, Lara Valentina, Cortinovis, Umberto, Cosimelli, Maurizio, Ditto, Antonino, Gennaro, Massimiliano, Giannini, Lorenzo, Guaglio, Marcello, Guzzo, Marco, Leva, Andrea, Macchi, Alberto, Manzo, Elena, Martinelli, Fabio, Mattavelli, Ilaria, Mazzaferro, Vincenzo Maria, Raspagliesi, Francesco, Rolli, Luigi, Sala, Laura, Salvioni, Roberto, Santinami, Mario, Segattini, Silvia, Sorrentino, Luca, Zaborra, Carlotta, Anesi, Alexandre, Pattacini, Gianmaria Casoni, Di Bartolomeo, Mattia, Pecchini, Francesca, Pellacani, Arrigo, Piccoli, Micaela, Fusini, Federico, Gattolin, Andrea, Migliore, Marco, Rimonda, Roberto, Sasia, Diego, Travaglio, Elisabetta, Brunetti, Federica, Cereda, Marco, Ceresoli, Marco, Cigagna, Luca, Dell’Oro, Cristina, Fogliati, Alessandro, Fruscio, Robert, Grassi, Tommaso, Isabella, Maini Marzia, Nespoli, Luca Carlo, Oldani, Massimo, Ornaghi, Sara, Tamini, Nicolò, Antropoli, Carmine, Castaldi, Antonio, Palumbo, Alessio, Altieri, Gaia, Bracale, Umberto, Corcione, Francesco, De Luca, Marcello, De Palma, Giovanni Domenico, Di NUZZO, Maria Michela, Lionetti, Ruggero, Bue, Dalila Loredana Lo, Luglio, Gaetano, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, Tropeano, Francesca Paola, Aversano, Alessia, Belli, Andrea, D’Amico, Maria, Delrio, Paolo, Izzo, Francesco, Patrone, Renato, Rega, Daniela, Maida, Pietro, Marra, Ester, Marte, Gianpaolo, Tufo, Andrea, Bianco, Francesco, Cappiello, Antonio, Gili, Simona, Incollingo, Paola, Novi, Alessandra, Bagaglini, Giulia, Iovino, Claudio, Tasselli, Francesco Menegon, Menna, Maria Paola, Romano, Francesco Maria, Rossi, Settimio, Sciaudone, Guido, Selvaggi, Francesco, Selvaggi, Lucio, Simonelli, Francesca, Coretti, Guido, Pannullo, Mario, Renzi, Adolfo, Ascari, Francesca, Barugola, Giuliano, Ruffo, Giacomo, Baroffio, Paolo, Bellora, Paolo, Benedetti, Laura Enrica, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Francone, Elisa, Gentilli, Sergio, Nikaj, Herald, Chessa, Antonella, Fiorini, Alessandro, Campagnaro, Luca, Chioffi, Franco, Ciccarino, Pietro, Colasanti, Roberto, Falco, Francesco, Kalfas, Fotios, Mattisi, Gioacchino, Nezi, Giulia, Palma, Matteo, Rizzoli, Angelica, Rossi, Domenico, Russo, Davide, Salvador, Renato, Volpin, Francesco, Bissolotti, Guido, Fusetti, Stefano, Lemma, Francesco, Chiantera, Vito, Di Donna, Mariano Catello, Sozzi, Giulio, Cammarata, Emanuele, Campanella, Sofia, Canzonieri, Daniela, Cordova, Adriana, De Michele, Federico, Dinoto, Ettore, Franza, Mara, Licari, Leo, Matta, Daniele, Mirabella, Domenico, Pecoraro, Felice, Pirrello, Roberto, Pugliese, Pierfrancesco, Rosatti, Fernando, Salamone, Giuseppe, Toia, Francesca, Tripoli, Massimiliano, Callari, Cosimo, Di Miceli, Dario, Annicchiarico, Alfredo, Bellanti, Luca, Bergonzani, Michela, Berretta, Roberto, Cabrini, Elisa, Capozzi, Vito Andrea, Catena, Fausto, Cozzani, Federico, Del Rio, Paolo, Domenichini, Marco, Fornasari, Anna, Freyrie, Antonio, Frusca, Tiziana, Giuffrida, Mario, Perrone, Gennaro, Rossi, Giulia, Rossini, Matteo, Varazzani, Andrea, Arici, Vittorio, Bozzani, Antonio, Cobianchi, Lorenzo, Filardo, Matteo, Milani, Marika Sharmayne, Ragni, Franco, Manzoni Garberini, Andrea, Baldini, Edoardo, Carpaneto, Diana, Cauteruccio, Michele, Ciatti, Corrado, Conti, Luigi, Gattoni, Serena, Maniscalco, Pietro, Palmieri, Gerardo, Pagliarello, Calogero Puma, Caristo, Giuseppe, Galleano, Raffaele, Malerba, Michele, Calabrò, Marcello, Farnesi, Francesca, Lunghi, Elia Giuseppe, Muratore, Andrea, Federico, Nicoletta Sveva Pipitone, Abel, Joel Reuben, Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, Moggia, Elisabetta, Murgese, Alessandra, Agro, Felice Eugenio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Denaro, Vincenzo, Mazzotta, Erica, Papalia, Rocco, Pascarella, Giuseppe, Strumia, Alessandro, Zampogna, Biagio, Cinquepalmi, Matteo, Colasanti, Marco, Del Basso, Celeste, Falaschi, Federica, Guglielmo, Nicola, Meniconi, Roberto Luca, Pecoraro, Alessandra, Usai, Sofia, Crescentini, Giacomo, Larcinese, Antonella, Picone, Emanuele, Sinibaldi, Giovanni, Agnes, Annamaria, Agnes, Salvatore, Alfieri, Sergio, Belia, Francesco, Bianchi, Valentina, Bianco, Giuseppe, Biondi, Alberto, Campennì, Paola, Cozza, Valerio, D’Archi, Sabatino, D’Ugo, Domenico, De Simone, Veronica, Di Grezia, Marta, Di Lorenzo, Sofia, Ferracci, Federica, Fico, Valeria, Franceschini, Gianluca, Fransvea, Pietro, Gasparini, Giulio, Gordini, Luca, La Greca, Antonio, Litta, Francesco, Lombardi, Celestino Pio, Marra, Angelo Alessandro, Parello, Angelo, Pascale, Marco Maria, Patini, Romeo, Pepe, Gilda, Persiani, Roberto, Puccioni, Caterina, Ratto, Carlo, Rosa, Fausto, Saponaro, Gianmarco, Scardina, Lorenzo, Silvia, Tedesco, Tropeano, Giuseppe, Benevolo, Maria, Bugada, Daniele, Campo, Flaminia, Dona, Maria Gabriella, Manciocco, Valentina, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Pellini, Raul, Petruzzi, Gerardo, Pichi, Barbara, Simone, Giuseppe, Tuderti, Gabriele, Zocchi, Jacopo, Cosentino, Luigi Marino, Sagnotta, Andrea, Angelico, Roberta, Bellato, Vittoria, Campanelli, Michela, Franceschilli, Marzia, Grande, Michele, Lisi, Giorgio, Manzia, Tommaso Maria, Petagna, Lorenzo, Sensi, Bruno, Sica, Giuseppe, Siragusa, Leandro, Tisone, Giuseppe, Assenza, Marco, Binda, Barbara, Biondi, Massimo, Brachini, Gioia, Bruzzaniti, Placido, Casagrande, Mauro, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, Crocetti, Daniele, D’Ambrosio, Giancarlo, D’Andrea, Vito, De Felice, Francesca, De Toma, Giorgio, Rocca, Carlo Della, Duranti, Giulia, Familiari, Pietro, Fiori, Enrico, Fonsi, Giovanni Battista, Frati, Alessandro, La Rocca, Stefania, La Torre, Filippo, Lapolla, Pierfrancesco, Marruzzo, Giovanni, Meneghini, Simona, Mingoli, Andrea, Picchetto, Andrea, Polimeni, Antonella, Ribuffo, Diego, Salvati, Maurizio, Santoro, Antonio, Sapienza, Paolo, Simonelli, Luigi, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, D’Annunzio, Simone, De Nunzio, Cosimo, Fiorelli, Silvia, Ibrahim, Mohsen, Loffredo, Chiara, Massullo, Domenico, Menna, Cecilia, Monica, Rocco, Pelli, Massimiliano, Rendina, Erino Angelo, Teodonio, Leonardo, Tubaro, Andrea, Argenio, Giulio, Accarino, Giulio, Giancarlo, Accarino, Giordano, Antonio Nicola, Cardinali, Luca, Sebastiani, Elisa, Travaglini, Grazia, Andreatta, Erika, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele, Bonavina, Luigi, Froiio, Caterina, Lovece, Andrea, Copelli, Chiara, Manfuso, Alfonso, Di Maio, Pasquale, Giudice, Marco, Iocca, Oreste, Cennamo, Rosario, Cornali, Tommaso, Di Marzo, Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, Clarizia, Guglielmo, Fleres, Francesco, Franzini, Marco, Fratto, Antonio, Giumelli, Pierluigi, Grechi, Alessandro, Longhini, Alessandro, Lorusso, Fabrizio, Scarnecchia, Elisa, Scolari, Federica, Spolini, Alessandro, Maiuri, Vincenzo, Papandrea, Matteo, Roncone, Arturo, Conti, Lorenzo, Rizzi, Andrea, Rovagnati, Marco, Brolese, Alberto, Cai, Tommaso, Ciarleglio, Francesco Antonio, Dalprà, Francesca, Malossini, Gianni, Mereu, Liliana, Tamanini, Irene, Tateo, Saverio, Viel, Giovanni, Battistella, Enrico, Rizzo, Paolo Boscolo, Fabbris, Cristoforo, Massani, Marco, Spinato, Giacomo, Tutino, Roberta, Grossi, Ugo, Iacomino, Alessandro, Novello, Simone, Romano, Maurizio, Rossi, Serena, Santoro, Giulio, Zanus, Giacomo, Trungu, Sokol, Aizza, Giada, Bellio, Gabriele, Bogoni, Selene, Bortul, Marina, Casagranda, Biagio, Cortinovis, Sara, Manzini, Nicolò, Drigo, Davide, Germani, Paola, Mastronardi, Manuela, Paiano, Lucia, Palmisano, Silvia, Filosso, Pier Luigi, Guerrera, Francesco, Marro, Matteo, Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, Motonobu, Kumita, Sho, Nishihara, Noriaki, Satoshi, Sato, Sawada, Atsushi, Tachibana, Shunsuke, Yamakage, Michiaki, Nakamura, Yuta, Sato, Kozo, Irie, Tomoya, Irisawa, Tomoko, Kanemaru, Eiki, Koga, Yuko, Chiba, Yoshihiko, Makino, Jun, Ohama, Shinnosuke, Okada, Shinichiro, Teruaki, Kano, Kida, Tatsuya, Takei, Tomohide, Hanazaki, Kazuhiro, Kitagawa, Hiroyuki, Namikawa, Tsutomu, Mizota, Toshiyuki, Takeda, Chikashi, Yagi, Shintaro, Imai, Hiroshi, Ishitobi, Makoto, Kato, Manabu, Nishikawa, Kouhei, Sasaki, Takeshi, Yonekura, Hiroshi, Kanaya, Akihiro, Irimada, Daisuke, Ishikawa, Haruka, Kaiho, Yu, Ida, Mitsuru, Kawaguchi, Masahiko, Kawamura, Kenji, Ogawa, Munehiro, Okada, Hiroshi, Endo, Shunji, Fujiwara, Yoshinori, Higashida, Masaharu, Kubota, Hisako, Okada, Toshimasa, Tanaka, Hironori, Ueno, Tomio, Yoshimatsu, Kazuhiko, Kikukawa, Motohiro, Kuriyama, Akira, Matsushime, Susumu, Hidehiko, Hishikawa, Hino, Haruaki, Hisamatsu, Yoji, Kamiya, Akio, Kinoshita, Hidefumi, Kita, Masato, Kobayashi, Toshinori, Michiura, Taku, Miki, Hirokazu, Murakawa, Tomohiro, Okada, Hidetaka, Saito, Tomohito, Saito, Ryoichi, Sugi, Motohiko, Sumi, Genichiro, Yamaki, So, Yamamoto, Tomohisa, Yoshida, Aya, Kambara, Tatsuya, Kanematsu, Sayaka, Satoshi, Okazaki, Hijikawa, Takeshi, Kitade, Hiroaki, Yanagida, Hidesuke, Fujita, Tomoyuki, Fukushima, Satsuki, Tadokoro, Naoki, Furukawa, Taku, Iizuka, Yusuke, Otsuka, Yuji, Sanui, Masamitsu, Sawada, Ikumi, Iwahashi, Hideki, Miyamoto, Morikazu, Takano, Masashi, Mieda, Tsutomu, Ando, Chihiro, Isada, Tetsuro, Ishizaki, Taku, Amer, Qaed Bani, Ishida, Sachi, Kobayashi, Yasuma, Kuratani, Norifumi, Sakurai, Tomoe, Takada, Misa, Iba, Yutaka, Tsukagoshi, Junji, Yamada, Akira, Amano, Yuki, Fumoto, Kentaro, Noro, Shusaku, Fujimoto, Ayataka, Tomoto, Kyoichi, Okamura, Yukiyasu, Sugiura, Teiichi, Uesaka, Katshuhiko, Takemura, Natsuki, Kuroda, Kento, Hayashi, Megumi, Kaneko, Satoi, Kawagoe, Izumi, Kochiyama, Tsukasa, Yamaguchi, Ai, Abe, Nobutsugu, Ando, Tadao, Chinzei, Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid 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Ashour, Subhi, Chabaan, Reem, Eskander, Ammar, Fawzi, Ahmad, Haij, Manal, Hamad, Hisham, Hamdan, Haya, Hamss, Ahmed, Hassouneh, Esraa, Hyasat, Ayah, Ibrahim, Zainab, Jamaliah, Saja, Khalil, Mohammed, Massad, Anas, Mohamed, Ishak, Qandeel, Mahmoud, Qasrawi, Dalia, Raggad, Mahmoud, Rifai, Ebaa, Semreen, Nedal, Shehada, Reham, Shorman, Marwan, Al‐shibi, Abdallah, Alsa’Afin, Shatha, Bani‐hani, Morad, Nimer, Bahaa, Nofal, Sandra, Qaraqe, Layth, Salameh, Mohammed, Saleh, Ma’Moun, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Yaghmour, Jamal, Zaza, Sabri, Alhindi, Rahaf, Baninasr, Eman, Al‐masri, Mahmoud, Al‐najjar, Hani, Alawneh, Fade, Al‐latayfeh, Motasem, Al‐shudifat, Abdel‐ellah, Ahmad, Abd Almonem Shaikh, Abdeljalil, Abdelkarim, Abdelrahman, Haneen, Abdulmalek, Abdulmalek, Abedalqader, Lina, Abed, Laith Abu, Al Smadi, Omar, Alarood, Salameh, Allouzi, Mohammad, Almansour, Maha, Almi’Ani, Sari, Alsaiad, Abdulhakim, Alshaikh, Khaled, Androus, Farah, Awbakh, Mirna, Azzam, Belal, Yasin, Hammam Bany, Daoud, Maher, Dawod, Lujain, Dawod, Omar, Elmusa, Reem, Fadli, Saba, Hammad, Farah, Hunaiti, Majd, Muhtaseb, Mahmoud, Owaimer, Rawan, Qulaghassi, Zaki, Romman, Saleh, Saket, Rawand, Sharawi, Said, Tawalbeh, Alaa, Al‐howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Za’Nouneh, Faris Jamal Abu, Al DHOUN, Sajedah, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al Shraideh, Ayah Ahmad, Al‐dabaa, Tawfik, Al‐jarrah, Salsabeel, Al‐jarrah, Hothaifa, Al‐othman, Hadeel, Alaradi, Zuhair, Alshannaq, Qutaiba, Alsulaiman, Rima, Alzaqh, Motasem, Alzu’Bi, Yazan, Audat, Ziad, Bahhour, Mohammad, Bdour, Saja, Khatatbeh, Roa, Marji, Fares, Mazahreh, Tagleb, Nail, Dina, Nuseir, Amjad, Rabab’Ah, Asmaa, Sawadi, Taher, Zidan, Ghina, Muhfouz, Dima Abu, Nael, Abdullah, Qasim, Ahmad, Al‐jarrah, Amar, Rawagah, Faisal, Abu Ismail, Dima Y, Al‐dolat, Wedad, Alzoubi, Mai, Alzoubi, Malak, Alzu’Bi, Mu’Taz, Asha, Ruba, Guboug, Ali, Hussein, Hasan, Rawashdeh, Shireen, Sanwar, Mohammad, Ababneh, Adnan, Abu‐eisheh, 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Jasim, Albader, Ibtisam, Aldalal, Shuaib, Baba, Mahdi, Abdulsalam, Fareed, Alhajri, Naser, Alwael, Athari, Ayele, Brook, Marie, Hatem, Zaitoun, Ahmed, Alali, Ahmad M., Alkhamis, Ahmed, Alozairi, Ous, Almazeedi, Sulaiman, Alsabah, Salman, Abdelkarim, Mostafa, Al Rashed, Asmaa, Al Subaie, Saud, Al‐shaiji, Tariq, Al‐terki, Abdullatif, Alhunaidi, Omar, Aljewaied, Ali, Alzamel, Khaled, Farag, Ahmed, Hayati, Hussein, Termos, Salah, Wood, Sarah, Al‐gilani, Maha, Al‐sihan, Mutlaq, Alotaibi, Haifa, Lobovs, Dmitrijs, Pcolkins, Andrejs, Sivins, Armands, Apse, Ingus Arnolds, Berga, Annija Evelīna, Ivanova, Anna, Demicevs, Jevgenijs, Ivanovs, Igors, Kaminskis, Aleksejs, Opincans, Janis, Pāvulāns, Jānis, Rudzāts, Agris, Udre, Anna, Dbouk, Samer, Farfour, Imadeddine, Rakka, Mohamad, Antonios, Ingrid, El Hage, Joe, Hage, Stephanie, Haiby, Lea, Kahi, Hiba, Lichaa, Anthony, Moussa, Rita Milan, Salameh, Michel, Sarkis, Riad, Albaini, Obey, Haykal, Tony, Safadi, Bassem, Abou‐abbass, Hussein, Al Makari, Reem, Al Zein, Zeina, Baidoun, Mariam, Itani, Rania, Owiedat, Mustafa, Abdel Sater, Ali H., Akl, Michel, Badran, Nour, El Mustapha, Sara, Fatouh, Fathallah, Ghoussoub, Youssef, Saad, Nader, Serhan, Fatima, Souleiman, Bassem, Alame, Walid, Ghiya, Peter, Ibrahim, Firas, Abdallah, Rasha, Kassab, Mohamad B., Karout, Samar, Aya Abdul, Al, Chaaban, Hilal, Fakih, Ghinwa, Haj‐ibrahim, Huzifa, Awad, Rabih, El Assaad, Hadi, Alfeqeeh, Ahmed, Muftah, Hosam, Abdulrahman, Taha, Ahseen, Naeimah, Abunaaja, Hayat Omar, Abdulmalik, Abdulmuez, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Elrefai, Nasre, Ahmad, Rofida, Alhouni, Tarek, Alkarky, Safya, Alkeelani, Hana, Alkuwafi, Rauoof, Benhariz, Rema, Bettamer, Nagat, Busarira, Musa, Bushaala, Hassan, Diryaq, Tariq, Elbargathe, Osama, Eldarat, Tarik, Elfadli, Mustafa, Elfitori, Jamael, Elmahgoub, Asma, Elsahti, Reem, Hassan, Yosef, Hussain, Fathi, Mirsal, Taha, Mohammed, Marwa, Saad, Ebtesam, Hadad, Haifaa Il, Mosabha, Mostafa, Alhaje, 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Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, Petrauskas, Donatas, Samalavicius, Narimantas Evaldas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Turskis, Vaidotas, Vasiliauskas, Bernardas, Aniukstyte, Laura, Dulskas, Audrius, Januška, Gediminas, Kuliavas, Justas, Montrimaite, Margarita, Cekauskas, Albertas, Kaminskas, Azuolas Algimantas, Kozenevskis, Sarunas, Poskus, Tomas, Strupas, Kestutis, Zelvys, Arunas, Decker, Georges, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Lucas, Randimbinirina Zakarimanana, Andriantsoa, Herimampionona E, Rasamoelina, Mamisoa B, Vatosoa, Rakotonarivo Aina Andrianina, Andriamanana, Liantsoa, Finaritra, Casimir FP Rahantasoa, Raherison, Aristide Romain, Rajaobelison, Tsirimalala, Rakotoarisoa, Haritiana, Ramifehiarivo, Maharo, Ranaivoson, Solonirina Harinarindra, Randriantsoa, Hajamihamina Marina Parfaite, Razafimanjato, Narindra Njarasoa Mihaja, Razafindrahita, Jeannie BA, Solofoarimanana, Solofoarimanana, Tsiambanizafy, Guillaume Odilon, Judicaël, Rakotonaivo Mamisoa, Solo, Corinne Eulalie, Ralaizafindraibe, Tojomamy Herinjaka, Andofenohasina, Fanonjomahasoa Safiry, Rasataharifetra, Hanta, Razafindraibe, Vanona Barijaona, Herinirina, Angelin Sablon, Das, Andre, Ganapathy, Thanga, Gunarasa, Yohesuwary, Mariapan, Kalyani, Muniandy, Maathichsudhaar, Osman, Mohd Firdauss, Azmi, Mohd Azem Fathi Mohammad, Soh, Jien Yen, Zain, Wan Zainira Wan, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Chan, Kheng Hooi, Hayati, Firdaus, Johan, Syamim, Mah, Jin Jiun, Sriram, Ratha Krishnan, Subramaniam, Sentilnathan, Shahimi, Nur Shahirah Binti Muhammad, Hamdan, Khairul Hazim, Ibrahim, Mohd Razali, Muthkumaran, Guhan, Tan, Ju Ann, Thanapal, Mohana Raj, Aziz, Dayang Anita Abdul, Bastion, Mae‐lynn, Harun, Mohd Hairul Nizam, Imran, Farrah‐hani, Din, Norshamsiah Md, Zain, Ayesha Mohd, Mustapha, Mushawiahti, Nabil, Syed, Naffi, Ainal Adlin, Nazimi, Abd Jabar, Ramli, Roszalina, Soon, Bee Hong, Bal, Pavin, Cheng, Joo Qing, Draman, Mohd Rusdi, Fadzli, Ahmad Nazran, Ghauth, Sakina, Hung, Weipin, Jamaris, Suniza, Koh, Peng Soon, Krishnasamy, Sivakumar, Lee, Yeong Sing, Liew, Yew Toong, Lim, Jeffery Zk, Lim, Raymond Chung Siang, Lim, Hiong Chin, Pauzi, Siti Farhan Moh, Nah, Shireen Anne, Nair, Ashvin Krishna, Doris Sin Wen, Ng, Yong, Yuki Julius Ng We, Ramayah, Kamarajan, Saaid, Rahmah, Sanmugam, Anand, See, Mee Hoong, Seevalingam, Kanesh Kumaran, Sethi, Neha, Singaravel, Srihari, Zaidi, Syeda Nureena Syed Jafer Hussain, Tang, Chu Yik, Teoh, Li Ying, Wong, Kian Boon, Xavier, Ruben, Yahaya, Ahmad Shuib, Norhafiza, Ab, Rahman, Null, Islah Munjih, Ab, Rashid, Null, Aziz, Mohd Fahmi Abd, Rahman, Mohd Norhisham Azmi Abdul, Amjad, Nasser Muhammad, Alhadi, Shahidah Che, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Nor, Azmi Md, Othman, Ahmad Faidzal, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ibrahim, Aini Fahriza, Ahmad, Abdul Rauf Bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Wong, Hui Yu, Zakaria, Jasiah, Aziz, Nor Azimah Abd, Rahim, Norazila Abdul, Rahman, Noorneza Abdul, Abdullah, Bahiyah, Sikkandar, Mohamed Faizal Bin, Firman, Fatin, Hazleigh, Nik Mohd, Kamarudin, Intan Kartika, Khalid, Shahril, Miswan, Mohd Fairudz Mohd, Zahid, Akmal Zulayla Mohd, Mustafa, Norasyikin, Obaid, Kadhim, Yahaya, Mohd Yusoff Bin Yahaya, Yusoff, Ahmad Ramzi, Andrejevic, Predrag, Myatt, Jeremy Borg, Brincat, Svetlana, Caruana, Clifford, Chircop, Kurt Lee, Chircop, Francesca, Chircop, Daniel Mario, Cini, Charles, Czok, Viktoria, Farrugia, Melanie, Grima, Gabriella, Almukhariq, Fatimah MJ Hassan, Muscat, Esther, Pisani, Darryl, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Shoukry, Mohamed, Spiteri, Neville, Tanti, Gilbert, Hasan, Ziad Aboharp, Soto, Alberto Bazan, Rubén, Cedillo Rodrìguez Jonathan, Zamudio, Gustavo Esteban Lugo, Gómez, David Gerardo Miranda, Meave, José Alfredo Pérez, Victor Pinto Angulo, Null, Aguilar, Antonio Rojas, Duran, Erik Efrain Sosa, Perez, Alejandro Vàzquez, Arroyo, Diego, Corona‐cruz, Jose, Martinez‐said, Hector, Medina‐franco, Heriberto, Mendez, Manuel, Suárez Ma, Teresa Moreno Y, Díaz, Dolores Orta, León Vázquez, Martha Patricia Pérez, Carvajal, Angélica Azucena Soto, Hernández, Fidel Soto, Stenner, Juan Ignacio, López, Adriana Valenzuela, Hernandez, Mauricio Rene, Romero, Rey Jesus, Hernandez, Aldo Bernal, Cortes‐flores, Ana Olivia, Valle, Carlos Jose Zuloaga Fernandez, Tinajero, Carlos Andres Colunga, Orozco‐perez, Jaime, Balboa, Laura Gabriela Peña, Yanowsky‐reyes, Guillermo, Torres, Víctor Hugo Alcalá, Camacho, Francisco José Barbosa, Perez, Irma Valeria Brancaccio, Calderon‐llamas, Miguel Angel, Gomez, Aldo Camacho, Cortes‐torres, Edgar‐joaquin, Cueva‐martinez, Esteban, Anguiano, Oscar Durán, Estrada, Isaac Esparza, Fierro‐rizo, Roberto, Becerril, Paola Flores, Orozco, Clotilde Fuentes, Castillo, Miguel García, Ojeda, Alejandro Gonzalez, Rubio, Ana Sofia Gonzalez, Rojas, Erick Alonso González‐García, Govea‐camacho, Luis Humberto, Barba, Jose Aldo Guzman, Peña, Juan Carlos Ibarrola, Martínez, César íñiguez, Llamas‐macias, Francisco Javier, Galaviz, Ruben Eduardo Morán, Nuño‐escobar, Cesar, Olvera‐flores, Oscar‐everardo, Osuna‐rubio, Jaqueline, Pérez‐navarro, Jose Victor, Prieto‐aldape, Rodrigo, Gonzalez, Luis Ricardo Ramirez, Sánchez, Marco Vinicio Ramírez, Reyes, Emilio, Romero‐limón, Olaya Moramay, Ruiz‐velasco, Carlos Beas, Martínez, José Antonio Sánchez, Sanchez‐villaseñor, Guillermo, Sedano‐portillo, Ismael, Gonzalez, Gabriela Ambriz, Moreno, Pedro Berrones Moreno Berrones, Alvarado, Ana Beatriz Calderon, Jesús Cárdenas Barón, José, Hernández, Araceli, Frutos, Francisco Javier León, Hernandez, Edgard Efren Lozada, Valencia, Eduardo Morales, Pérez, Karla Daniela, Bolanos‐morales, Francina, Herrera‐zamora, Julio, Santillan‐doherty, Patricio, Zavala, David Omar Arriaga, Campos, Salvador Francisco Campos, Carmona, Lizette, Nava, Antonio Galindo, Santos, Blanca, Cisneros, Juan Roberto Torres, Bozada‐gutiérrez, Katya, Herrera, Jose Jesus, Portillo, Mucio Moreno, López, Francisco Pérez, Trejo‐avila, Mario, Salazar, Carlos Valenzuela, Alvarez, Maria Regina, Cordera, Fernando, Rosa Abaroa, Marco Antonio, Gómez‐pedraza, Antonio, Hernandez, Roberto, Maffuz‐aziz, Antonio, Posada, José Antonio, Vidal, Carlos Robles, Beristain‐hernandez, Jose‐luis, Sada, Blas Eduardo Quintero, Heredia, Nicolás Uxmal Soruco, Anaya, Ernesto, Arceo‐olaiz, Ricardo, Sougarret, Bernardo Gutiérrez, Flores, Sonia Lopez, Ochoa Carrillo, Francisco J., Uribe, Raymundo Alfredo Pérez, Silva, Ludwigvan Adriano Bustamante, Lupián‐angulo, Arianne I, Martínez, Christian Enrique Soulé, García, Francisco César Becerra, Casillas, Ernesto Javier Guerrero, Uribe, Edgar, Arias, Nereida Esparza, Hernández‐nava, J. Mindy, Isla‐ortiz, David, Melchor‐ruan, Javier, Bañuelos, Esmeralda Romero, Salcedo‐hernández, Rosa, Vilar‐compte, Diana, Peniche, Paola Zinser, Aguilar Frasco, Jorge L., Alfaro‐goldaracena, Alejandro, Buerba, Gabriela Alejandra, Castro, Emma, Chan, Carlos, Cortes, Ruben, Dominguez‐rosado, Ismael, Lechuga, Daniel Garay, Herrera, Miguel, Hinojosa, Carlos, Lopez‐pena, Gabriel, Martos, Edgar, Mercado, Miguel ángel, Velázquez, Paulina Moctezuma, Moguel, Roberto, Oropeza, Mariano, Portugal, Emmanuel Peña Gómez, Posadas‐trujillo, Oscar Emmanuel, Salgado‐nesme, Noel, Jasso, Oscar Santes, Sarre, Catherine, Skewes, Karla Yareli Hernandez, Jimenez, Cristian, Licona‐meníndez, Roque Delfino, Montiel, Guillermo, Navarrete‐peón, Alberto, Ortega, Shannat, Lechuga, Fernanda Romero, Roque, Oscar, Sevilla, Fernando, González‐lópez, Rogelio, Núñez‐gonzález, Roberto ángel, Ortega‐jiménez, José Antonio, Alvarado, Antonio, Orendain, Alfonso Alvarez Manilla, Pesquera, José Alberto Atristain, Frutos, Diego, Garcia, Felipe, León, Juan Antonio González, Guzman, Marlin, Herappe, Dorihela, Miranda, Jesús Giovanni Inzunza, Botello, Miguel Angel Jimenez, Lerma, Ricardo, Pedraza, Fabián Hilario Mendoza, Castillo, Monica Noguez, Resendiz, Jose Anatolio, García, Oscar Alejandro Sánchez, Rios, Laura Elena Fernandez, Frigerio, Pamela, Garcia, Iset, Frías, Gloria Isela Mendoza, Moreno, Emmanuel, Quiroga, Raquel, Mendoza, Alejandra Anzures, Hinojosa, Arantza Govela, Izaguirre, Aldo, Miguelena, Luis Hdez, Vazquez, Jose Manuel Luna, Rodriguez, Indalecio Barcelata, Mange, Raul Ramos, Utrera, Carlos Reyes, Saenz, David Zarate, Gonzalez, Miguel Angel Zavala, González, Francisco Andrade, Cortes, Ludivina, Roman, David, Sanchez, Aaron, Gurghiș, Radu, Rojnoveanu, Gheorghe, Vozian, Marin, Caraja, Petru, Croitor, Gheorghe, Mosneaga, Roman, Erdene, Sarnai, Ganbold, Lundeg, Orgoi, Sergelen, Orsoo, Soyombo, Sainbayar, Altanchimeg, Sandag, Erdene, Sanjaa, Burmaa, Benhamou, Rita Ait, El Azhari, Abdessamad, Ghita, Bennis, Lhassani, Sara, Louraoui, Sidi Mamoun, Rghioui, Mounir, Saaf, Sarra, Gadouali, Taha, Gouazar, Iltimass, Korch, Moniba, Letrache, Ahmed, Louari, Amina, Zamame, Anas, Ousouss, Samia, Zekhnini, Meryem, Abderrazaq, Hafni, Abichou, Wijden, Ahlaou, Hamza, Baicha, Amal, Baroudi, Salma, Chaoui, Ghita, El Azzazi, Hind, El Masaoudi, Saja, Hassoun, Chiraz, Moujtahid, Hajar, Riyahi, Anas, Zaim, Ouijdane, Aji, Narjiss, Ammouze, Imane, Arkha, Yasser, Bechri, Hajar, Belabbes, Meryem Benchekroun, Benslimane, Zaineb, Boualila, Lina, Bouanani, Othmane, El Ouahabi, Abdessamad, Hossyni, Leila Essakalli, Malik, Boulaadas, Oudrhiri, Mohammed Yassaad, Sefrioui, Taha Ismail, Tagmouti, Adam, Bensghir, Mustapha, Elkoundi, Abdelghafour, Belarabi, Othman, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, El Bouazizi, Yassine, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Mohsine, Raouf, Souadka, Amine, Kone, Badra Aliou, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Jeketera, Clara, Yeboah, Kwasi, Abebrese, John Tabiri, Mureko, Alfred, Quayson, Francis William, Shikongo, Justina, Bhusal, Subarna, Dwa, Yam, Joshi, Ashoo, Berkeveld, Eva, Bloemers, Frank, Borgstein, Alexander, Gisbertz, Suzanne, Mikdad, Sarah, Berge Henegouwen, Mark, Bakx, Roel, Besselink, Marc, Lemmers, Daniel HL, Roelofs, Anne‐jasmin, Amstel, Paul, Helsdingen, Claire, Smeele, Ludi, Harlaar, Niels, Jonker, Frederik, Burg, Sjirk, Oostendorp, Justin Y., Ombashi, Saranda, Voort, Tim, Geldorp, Martijn, Posma‐bouman, Lisanne, Boer, Hans Donald, Olieman, Annette, Smid‐nanninga, Henriette, De Vries, Jean‐Paul P. M., Hogenbirk, Rianne, Derksen, Tyche, Franken, Josephine, Oosterling, Steven, Nolte, Peter, List, Jelle, Alwayn, Ian, Bijlstra, Okker, Braat, Andries, Bulder, Ruth, Kok, Michèle, Faber, Robin, Goudsmit, Ben, Hamming, Jaap, Mieog, Sven, Vahrmeijer, Alexander, Leemkolk, Fenna E. M., Vorst, Joost, Schaik, Jan, Verhagen, Merel, Albers, Kim, Gawria, Larsa, Van Goor, Harry, Warle, Michiel, Ginhoven, Tessa M., Viëtor, Charlotte, Boerma, Evert‐jan, Lallitsch, Lara, Schweitzer, Donald, Leclercq, Wouter, Sijmons, Julie, Vancoillie, Peter‐jan, Konsten, Joop, Heinsbergen, Maarten, Dekker, Nicole, Boer, Frank, Dimech, Julian, Djamali, Kaveh, Fowler, Carolyn, Ghamri, Naji, Houston, Helen, Joseph, Reece, Kantroo, Astha, Kwun, Jin, Lie, Samuel, Lightfoot, Nicholas, Maccormick, Andrew, Olliff, Sue, Trilokekar, Natasha, Wood, Daniel, Ekanayaka, Aruna, Furkert, Chris, Nanayakkara, Asanga, Panesar, Divyansh, Waddell, Oliver, Bidois, Lauren, Clifford, Zoe, Frizelle, Frank, Glyn, Tamara, Lim, Eric, Lyons, Oliver, Mclauchlan, Jared, Nicholas, Ella, O’Grady, Michael, Roake, Justin, Singh, Harsh, Ailabouni, Ramez, Rietveld, John, Alqassab, Mohammed, Amer, Mostafa, Chan, Annie, Egbuji, John, Fullarton, Mairi, Haddow, James, Hawkins, Robyn, Vui Teck, Lu, Oliver, Thomas, Saw, Kai Sheng, Sugunesegran, Ramanen, Wilkins, James, Woodfield, Esther, Baker, Joseph, Cama, Jitoko, Field, Xavier, Fulivai, Alamea, Hossain, Ruhella, Kelly, Ben, Jasen, Ly, Mckelvie, James, Meiyappan, Vivek, Cindy Xin Yi, Ou, Singh, Vidit, Hedley, Alex, Temara, Hinerangi, Aitken, Jake, Frunt, Brytt, Boys, Max Hardie, Lakshman, Prashant, Pinfold, Esther, Cowan, Sarah, Henderson, Nigel, Leary, Jessica, Castle, Cameron, Gaston, Matt, Haimona, Maira, Jury, Steffanie, Lahood, Zoe, Lim, Matthew, Macintyre, Dillon, Mak, Josephine, Neal, Annelise, Shelker, William, Weeratunga, George, Ferguson, Liam, Harmston, Christopher, Heaven, Chelsea L, Watt, Imogen, Cahill, Henry Witcomb, Abdurrazzaaq, Abdussemee, Abdussalam, Hameedat Opeyemi, Adebanjo, Ademola, Ahmed, Aminat Olayinka, Borokinni, Opeyemi Busayo, Fasiku, Olushola Kayode, Gwaram, Usman, Okoye, Onyedika, Olaomi, Oluwole, Adeyeye, Ademola, Enoch, Elizabeth, Fayose, Samuel, Kayode‐nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Kwankiyel, Auwal Babayo, Umar, Shahir Bello, Hassan, Sulaiman, Ja’Afar, Abubakar Bappah, Ja’Afaru, Umma Hani, Kadas, Saidu, Liman, Haruna, Makama, Baje, Mohammad, Aminu Mohammad, Kirfi, Abdullahi Musa, Oyediji, Funmilayo, Mohammed, Husseini Yakubu, Akpoghor, Oghenevwegba, Arekhandia, Alexander, Dawodu, Oseyi, Edetanlen, Ekaniyere, Efobi, Chizoba, Egbor, Esezobor, Enaruna, Nosakhare, Ezeanochie, Michael, Ezenwa, Ekene, Ijekeye, Ferdinand, Imumoren, Joe, Iribhogbe, Oseihie, Irowa, Omorodion, Momoh, Moses, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Obuekwe, Ozoemene, Odai, Emeka Danielson, Odigie, Vincent, Odutola, Oluwatomi, Okhakhu, Amina, Okugbo, Stanley, Oni, Samson, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Ugwi, Veronica, Uwagboe, Charles, Yusuf, Sofiat, Abiodun, Adekunle, Akinloa, Olufemi, Shodipo, Moses, Abdullahi, Alhassan, Lawal, Ishak, Echieh, Chidiebere Peter, Nwagboso, Chimaobi, Udoh, Ubong, Akanni, Bolaji, Anyimba, Solomon, Chukwu, Isaac, Ezomike, Uchechukwu, Gold, Ikponmwosa, Nnabugwu, Ikenna, Nwafor, Ikechukwu, Okolie, Louis, Okoro, Kelechukwu, Okwara, Blasius, Onyemaechi, Ndubuisi, Abdulsalam, Khalifa, Arogundade, Abayomi, Kura, Mohammed, Nwosu, David, Abdullahi, Habiba, Agida, Eyaofun, Aisuodionoe‐shadrach, Oseremen, Ajibola, Hafees, Akaba, Godwin, Ale, Omolabake, Atim, Terkaa, Emeka, Malachy Ayogu, Benard, Adeka, Buba, Amina, Chinda, John, Edino, Stephen, Eniola, Sefiu, Garba, Stephen, Isah, Aliyu, Isah, Dennis Anthony, Joshua, Zaman, Mbajiekwe, Ndubuisi, Mshelbwala, Philip, Muhammad, Rafat, Offiong, Richard, Olute, Anne, Osagie, Olabisi, Ogolekwu, Idoko Pius, Sulaiman, Bilal, Suleiman, Salisu, Umar, Aminu, Abayomi, Olukayode, Abdus‐salam, Rukiyat, Adebayo, Sikiru A., Adeleye, Amos, Ademola, Samuel, Afuwape, Oludolapo, Ajao, Akinlabi, Akinsola, Sanusi, Aladelusi, Timothy, Ayandipo, Omobolaji, Baiyewu, Lateef Ayodele, Balogun, Mosimabale, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Elemile, Peter, Ezeme, Constantine, Fasunla, Ayotunde James, Gbolahan, Olalere, Iwuagwu, Ifeanyi, Michael, Afieharo, Morhason‐bello, Jemiludeen, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Ogundoyin, Olakayode, Ogunkeyede, Segun Ayodeji, Ogunrewo, Tolulope, Okere, Oghenekevwe, Oladejo, Titilola, Oladiran, Ajibola, Olagunju, Naomi, Olaoye, Ifedolapo, Olawoye, Olayinka, Olulana, Dare, Olusanya, Adeola, Omigbodun, Akinyinka, Onakoya, Paul, Orji, Mathias, Oyelakin, Oyeleye, Oyewole, Olugboyega, Sule, Samuel, Takure, Augustine O, Ugwu, Ebere, Afolabi, Bosede, Ajayi, Peter, Akinajo, Opeyemi, Alakaloko, Felix, Atoyebi, Oluwole, Belie, Orimisan, Bode, Chris, George, Ihediwa Chibuike, Elebute, Olumide, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo‐ajayi, Oluwaseun, Makanjuola, Ayomide, Makwe, Christian, Mofikoya, Bolaji, Ohazurike, Ephraim, Ojewola, Rufus Wale, Okunade, Kehinde, Okunowo, Adeyemi, Olajide, Thomas Olagboyega, Oni, Oluwafemi, Tijani, Kehinde, Ugburo, Andrew, Ugwu, Aloy Okechukwu, Abiola, Paul, Abiyere, Henry, Adebara, Idowu, Adeniyi, Adebayo, Adeyemo, Olabisi, Ariyibi, Abimbola, Babalola, Olakunle, Bakare, Adewumi, Banjo, Oluseyi, Egharevba, Peter, Obateru, John, Ojo, Owolabi, Olajide, Adewale, Oluwafemi, Fatudimu, Oyeleye, Oluwole, Salawu, Adedayo, Babatunde, Bakare Tajudeen Ishola, Abdulsalam, Moruf, Adelaja, Aderinsola, Adeniran, Abimbola, Ajai, Olalekan, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Faboya, Omolara, Idowu, Olufemi, Idowu, Jeuel, Mustapha, Muntaqa, Omisanjo, Olufunmilade, Osuoji, Roland, Vitowanu, Julius, Abe, Anthonia, Aderounmu, Adewale, Adesunkanmi, Abdulhafiz, Ajekwu, Temitope, Ajekwu, Samuel, Ajiboye, Olalekan, Aderogba, Adeleke Akeem, Alatise, Olusegun Isaac, Babatunde, Mustapha, Balogun, Simon, Ijarotimi, Adebimpe, Lawal, Adedayo, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Ubom, Akaninyene Eseme, Agbaje, Ademola, Mohammed, Tajudeen, Adeniran, Abiodun, Adesola, Muideen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ayinmode, Iyehunwa, Bello, Jibril, Ezeoke, Grace, Gwadabe, Sadiya, Ibraheem, Gbadebo, Ibrahim, Saidu, Ijaiya, Munir’Deen, Nasir, Abdulrasheed, Odeyemi, Peter Olalekan, Ogunade, Olukayode, Olabinjo, Afusat, Olatoke, Samuel Adegboyega, Olowogbayi, Tope, Onjefu, Stephen, Popoola, Ademola, Raji, Hadijat Olaide, Salawu, Nasiru, Salawu, Hafeez, Sayomi, Tolulope Olayinka, Segun‐busari, Segun, Uche‐okonkwo, Kenechukwu, Abiola, Olajide, Anipole, Olalekan, Ogunlaja, Olumuyiwa, Adesina, Oluwaseyi, Alayande, Barnabas, Ebenezer, John, Enwerem, Kenneth, Isichei, Christian, Isichei, Mercy, Luku, Pwaluke, Omiragi, Paul, Onyeji, John, Adze, Joel, Aghadi, Ifeanyi, Auta, Akawu, Duniya, Sharon, Gyuro, Joseph, Lawal, Jamila, Makama, Jerry Godfrey, Mohammed, Garba, Mohammed‐durosinlorun, Amina, Salisu, Kabiru, Taingson, Matthew, Yusuf, Nuhu, Amos, Happy, Daniel, James, Takai, Idris Usman, Abdullahi, Lawal, Abdullahi, Sani, Abdulrahman, Mamuda, Abubakar, Mohammed Kabir, Adikaibe, Valentine, Ahmad, Misbahu, Ahmad, Jameel Ismail, Aji, Sani Ali, Aliyu, Mohammed Salele, Danagundi, Maryam Babba, Bako, Yusuf Halidu, Bello‐muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Ismail, Hassan, Sadiq, Usman, Mustapha Ibrahim, Ismail, Nasiru, Jibril, Yasir Nuhu, Kurawa, Musbahu, Magashi, Mahmoud Kawu, Martins, Bardi, Bello, Usman Mohammed, Muhammad, Saminu, Muhammad, Abubakar Bala, Muhammad, Shamsuddeen, Daneji, Sulaiman Muhammad, Mukhtar, Ibrahim Aliyu, Adamu, Kabir Musa, Nwachukwu, Callistus, Omeje, Uchenna Kelvin, Orji, Ifeanyi James, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Yunusa, Sani Abdullahi, Maryam, A, Abubakar, Kabiru Bello, Habib, Saudat Garba, Mahmood, Farrukh, Alabi, Ibrahim Abolaji, Arojuraye, Soliudeen, Salihu, Mohammed, Alade, Samuel, Kumolalo, Felix, Mogbo, Chiedozie, Adebayo, Olaolu, Ige, Oluwasuyi, Jones, Gbenga, Odunafolabi, Tunde, Olubayo, Oluniyi Oyetunde, Akani, Chris, Alasia, Datonye, Alegbeleye, Justina Omoikhefe, Aria, Oti Nimi, Awopeju, Abimbola, Edonkumoh, Kemebradikumo, Ekeke, Onyeanunam, Fyneface‐ogan, Sotonye, John, Celestine, Kasso, Terhemen, Korubo, Inye, Mato, Christie, Ogu, Rosemary, Okpani, Charles, Okpani, Anthony, Onwuagha, Ijeoma, Oppah, Ijeoma, Oputa, Victory, Oranu, Emmanuel, Orazulike, Ngozi, Otokwala, Job, Ugboma, Henry A. A, Ajayi, Adekunle, Ogundele, Ibukunolu, Salami, Babatunde, Ajagha, Okeoghene, Ali, Yakubu, Awaisu, Mudi, Daniyan, Muhammad, Fidelis, Lovely, Nwabuoku, Stanley Emeka, Ogunsua, Oluseyi, Oyelowo, Nasir, Sholadoye, Tunde T., Yakubu, Alfa, Rendevski, Vladimir, Shuntov, Blagoj, Shuntov, Natalija Cokleska, Georgieva, Gordana, Jovanoski, Tomislav, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Srbov, Blagoja, Trajkova, Andrijana, Trenchev, Viktor, Dohcev, Sasho, Janchulev, Josif, Saidi, Skender, Stankov, Oliver, Trifunovski, Aleksandar, Draz, Najib Abu, Al Ajmi, Khalil, Al Ajmi, Ghadeer, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Nawf, Al Bassam, Wameedh, Al Farsi, Maather, Al Ghafri, Wadha, Al Ghafry, Alaa, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Kalbani, Maha, Al Kharusi, Lamya, Al Kharusi, Safiya, Al Mutani, Mohammed, Al Qadhi, Hani, Al Raisi, Amani, Al Riyami, Nihal, Al Sabti, Hilal, Al Shaibi, Maha, Al‐abri, Rashid, Al‐mujaini, Abdullah, Al‐rashdi, Aya, Alajmi, Suha, Albadi, Zamzam, Albusaidi, Hanadi, Alhadeethi, Ahmed, Aljabri, Noor, Alkazrooni, Muhannad, Alkharousi, Nadiya, Alkharusi, Al‐salt, Alkiyumi, Khadija, Almaharbi, Noof, Alsaadi, Sabaa, Alsharji, Marwa, Alsharqi, ALi Hamed, Alshehhi, Fatma, Alsulaimani, Thuwaiba, Alward, Mustafa, Alwashahi, Mohammed, Alyafii, Hussain, Alzadjali, Adil, Basi, Tayseer, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Kariyattil, Rajeev, Kenawy, Ahmed Omer, Kochummen, Koshy, Kolethekkat, Arif, Pillai, Mahesh Krishna, Sureshkannan, Ks, Laghari, Farman Ali, Manjunatha, Attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Nair, Asha, Naiya, Hafsa Ismail Ibrahim, Nazar, Zuhail, Pillai, Silja, Rahim, Ferdous, Rahman, Khalid, Sheik, Shahila, Siddiqi, Mohammad Salman, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Khan, Muhammad Ahsan, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Syed, Danish, Rehman, Ishtiaq Ur, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha Yurf, Bangash, Ali Haider, Latif, Sehrish, Naqvi, Wajih, Abdullah, Muhammad Tariq, Abdullah, Saleha, Ahmed, Arooj, Ahsan, Muhammad Fahim Ahsan, Akhtar, Fahad, Ali, Sana, Ansar, Mehwish, Aqib, Muhammad, Arslan, Muhammad, Ashraf, Sumaira, Ayubi, Azaz, Azam, Tayyab, Bhatti, Hamza, Huda, Shahab, Irshad, Abeer, Ishaque, Nazia, Khaliq, Tanwir, Khan, Farheen, Khan, Mumtaz Ahmad Khan, Mahmood, Namrah, Malik, Ali Raza, Malik, Tahir, Malik, Komail, Mehmood, Manzer, Mustafa, Fatima, Noor, Fazal, Nubair, Sarwar, Rashid, Isbah, Saeed, Waqar, Sajid, Hannan, Shah, Sajid, Shami, Ali, Siraj, Minhaj Us Siraj, Tareen, Mariam, Haq, M Burhan Ul, Abbas, Manzar, Zaidi, Syeda Maria Ahmad, Ahmed, Iffat, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhtar, Munazza, Akhund, Ramsha, Manji, Adil Al‐Karim, Arshad, Hajra, Awan, Muhammad Ozair, Aziz, Humaira, Bhutto, Shameen, Aamir, Faiqa Binte, Biyabani, Syed Raziuddin, Chishti, Uzma, Chundrigar, Mohsin, Ghaloo, Shayan Khalid, Haroon, Waqqas, Hashmi, Shiraz, Hassan, Murtuza, Inam, Hina, Kassam, Nausheen, Kazmi, Abbas, Khan, Majid, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Martins, Russell Seth, Mubarik, Areeba, Munir, Muhammad Musaab, Musharraf, Muhammad Bazil, Naz, Falak, Noordin, Shahryar, Pervaiz, Arsalan, Qamar, Javeria Bilal, Rahman, M Fazlur, Rani, Pallavi, Rasheed, Yasir, Sadia, Haleema, Saeed, Marwah, Safri, Mohammad, Salim, Shaharyar, Sattar, Abida K., Shamim, Shahzad, Sherwani, Maryam, Siddiqui, Muhammad Ahsan Iqbal, Sidhwa, Astad, Tariq, Javeria, Tejani, Isbaah, Waqar, Usama, Zahid, Fahad, Jamal, Abid, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Saeed, Summaya, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Arshad, Muhammad, Hussain, Syeda Namayah Fatima, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Nasir, Manal, Sohail, Osama Bin, Mangi, Ali, Markhand, Naveed, Mushtaq, Hassan, Zia, Kashif, Ahmed, Hassaan, Ahmed, Nasir, Qureshi, Talha Ahmed, Shaikh, Shafqat Ali, Anwer, Rabia, Arshad, Owais, Batool, Sehrish, Chatni, Muhammad, Chundrigar, Tariq, Dojki, Samina Saleem, Elahi, Minahil, Farooqui, Bakhtawar, Ghouri, Amna, Hassan, Nabeel, Hussain, Zainab, Hussaini, Null, Iftikhar, Fizza, Iqbal, Faizan, Javed, Anum, Javed, Dania, Kamal, Wajahat, Khan, Shifa, Mughal, Zeeshan Uddin, Murtaza, Ghulam, Nadeem, Areeba, Nasir, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Haroon, Umer Saeed, Saleem, Shah Masabat, Seriwala, Haseeb, Shah, Aaqil, Siddiqui, Safia, Tanveer, Asher Tanweer, Tariq, Nida, Zaman, Junaid, Zamir, Mehroz, Anjum, Muhammad Ayyub, Afzal, Ameer, Ahmed, Ehsan, Ahmed, Jawad, Riaz, Shujat Ahmed, Akbar, Ali, Akbar, Bilal, Ali, Maria, Ali, Imran Ali, Ali, Abrar Ashraf, Ali, Ghazanfar, Altaf, Zahra, Ammar, Ahmed Siddique, Arif, Hafiz Muhammad Arif, Aslam, Imran, Bashir, Muhammad Mustehsan, Farooq, Usman, Farooq, Muhammad, Gondal, Khalid Masood, Iqbal, Muhammad Javed, Iqbal, Zafar, Ismail, Fahad, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Joshi, Prabesh, Khadam, Mamoona, Khan, Romaisa, Khawaja, Muhammad Asadullah, Manzoor, Sobia, Mohsin, Muhammad, Mumtaz, Khizra, Musaab, Muhammad, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Noureen, Sadaf, Rafi, Yaseen, Raza, Ali, Rijal, Sushil, Saleem, Irfan, Shah, Hafiz Syed Zaigham Ali, Sharif, Muhammad, Shaukat, Ayesha, Siddique, Usman, Sikandar, Hafiz Saqib, Sohail, Mohammad, Zahara, Fatima Tu, Usman, Yasmeen, Zaman, Balakh Sher, Zeb, Misbah, Afzal, Muhammad Farooq, Ahmad, Fateen, Ahmed, Waqas, Akram, Shahzad, Alam, Azhar, Ali, Danish, Ali, Ahsan, Alvi, Ammar Tariq, Asif, Suleman Asif, Aslam, Madiha, Daood, Muhammad Daood, Jawad, Muhammad, Kathia, Usama Muhammad, Khalid, Ismaeel, Khan, Anwar, Khurshid, Zain, Noman, Hamza, Raza, Ahsan, Taha, Hassan, Zubair, Muhammad, Maria, Noor Ul Huda, Janjua, DrAtif A, Ahmad, Qamar Ashfaq, Ahmad, Sheraz, Ali, Imran, Amin, Sana, Anjum, Momina, Asjad, Muhammad, Aslam, Aatif, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bakhtiar, Akkasha, Bashir, Alia, Batool, Fizza, Bhatti, Samiullah, Butt, Roshan, Butt, Usman, Changazi, Shabbar Hussain, Cheema, Omer Iqbal, Chishti, Muhammad Haris, Haq, Bushra, Hashmi, Ali, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Iqbal, Javaid, Iqbal, Ayesha, Ishaq, Amna, Javed, Sundas, Javed, Hina, Javed, Aymen, Kashif, Muhammad, Khalid, Muhammad Saud, Khan, Wasim Hayat, Khan, Rohma, Khan, Fatima, Latif, Usman, Mahmood, Arif, Majeed, Faizan, Malik, Kiren, Masood, Rumaisa, Munawwar, Fasiha, Mushtaq, Asma, Nabi, Muhammad Shoaib, Nasir, Ahmad, Naureen, Shazia, Noreen, Zahida, Qadir, Muhammad Ghulam Qadir, Raana, Gul e Raana, Rashid, Madeeha, Rehman, Abdul, Riaz, Sidra, Saboor, Arfa, Sadiq, Muhammad Hamza, Saeed, Komal, Saleem, Humaira, Sarfraz, Kiran, Shafiq, Zahid, Shafqat, Aymen, Shaukat, Hassan, Sher, Fateh, Sohail, Rubina, Suhail, Amina, Muhammad, Bilal Syed, Umair, Usama, Umar, Muhammad, Usama, Muhammad, Usman, Natasha, Waheed, Kalsoom, Farooka, Muhammad Waris, Wasim, Shafqat, Wasim, Tayyiba, Yasin, Fahad, Zafar, Zain, Zaka, Sabahat, Zaman, Salma Zaman, Azad, Junaid, Fatima, Zareen, Anwar, Muhammad Imran, Naseer, Muhammad Ahmed, Shah, Muhammad Taimoor, Ali, Ammar, Aslam, Muhammad, Aziz, Muhammad Usama, Gohar, Farhan, Humayoun, Waseem, Khan, Hassan, Naeem, Shiza, Tahir, Warda, Alvi, Kashif, Mehmood, Maria, Ali, Muhammad, Shahzad, Aniqa, Sher, Muhammad, Murtaza, Null, Siddique, Hijab, Anjum, Waleed, Ahmad, Manzoor, Alam, Muhammad, Faizi, Fouzia, Faridoon, Shehla, Hussain, Musarrat, Iftikhar, Muhammad, Jan, Yousaf, Kalim, Muhammad, Raza, Tilal Ahmed, Shah, Farrukh Ozair, Shah, Muhammad, Tahir, Imran, Khan, Hamza, Naeem, Muhammad, Ahmad, Shabir, Ahmed, Haseeb, Akbar, Hazrat Akbar, Akhtar, Muhammad Shaheer, Ali, Noman, Ali, Mehboob, Ali, Sadaf, Ali, Irfan, Amin, Hasbi Allah, Amin, Shehzadi, Ayub, Bakhtawar, Basir, Muhammad, Faraz, Ahmad, Farsi, Muhammad Salman, Gul, Ambrin, Gul, Hina, Gul, Ayaz, Gul, Sana, Haider, Sajjad L, Ikramullah, Syed Ikramullah, Jan, Kashif, Khalid, Muhammad, Khan, Salman, Khan, Muhammad Faisal, Khan, Faraz Ahmad, Mian, Iftikhar, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Raziq, Naila, Rehman, Riaz, Salim, Azra, Shafqat, Tanveer, Shah, Faaiz Ali, Shah, Suliman, Shakeel, Muhammad, Ullah, Tahsin, Rehman, Shams Ur, Wali, Sabaeena, Zahoor, Farnaz, Zeb, Gulmeena, Zeb, Laila, Haseeb, Null, Raza, Waqas, Amir, Zein, Arshad, Daneyal, Daud, Mashal, Chughtai, Umer Javed, Rauf, Mirza Hammad, Sajid, Zaina, Abid, Rubaba, Azam, Ayesha, Farkhanda, Tallat, Firdos, Kanwal, Khalid, Tabinda, Malik, Sobia, Mashal, Javeria, Salim, Ruqyyah, Saqib, Madiha, Shaheen, Aneela, Shahid, Madiha, Yasmeen, Irfana, Ahmed, Faryal, Ali, Aneeqa, Amjid, Zarafshan, Anwar, Muhammad Idrees, Arif, Iqtaza, Ashraf, Anam, Butt, Adam Umair Ashraf, Azhar, Faryal, Daniyal, Muhammad Daniyal, Ghazanfor, Ramlah Ghazanfor, Ishtiaq, Daniyal, Jamil, Manahil, Khalid, Ziaullah, Khan, Jahangir Sarwar Khan, Khan, Muhammad Sarfraz, Mahmood, Usama, Mahmood, Ashraf, Malik, Abdur Rehman, Nagra, Ramisha Naseer, Niazi, Fuad Ahmad Khan, Saleem, Maleeha, Saleem, Bushra, Saleem, Tayyaba, Shabbir, Raja Khalid, Shakir, Imtiaz Ahmed, Ahmad, Ashfaq, Awan, Surgeon Hafiz Riaz Hussain, Bhatti, Waqar, Shaheen, Azka, Awad, Hadeel, Mohamad, Balqees, Wafi, Dalia, Jayyab, Mustafa Abu, Toman, Hitham, Abu‐arish, Hamdoon, Al‐slaibi, Ibrahim, Alzeerelhouseini, Hussam I. A., Jobran, Fahmi, Lahlooh, Raghad, Aburayyan, Fatima, Abuzaina, Khalil, Aljuba, Ayat A., Aljunaidi, Roaa, Alzughayyar, Tareq, Amro, Adham, Amro, Sarah, Dweik, Mays, Halman, Safa, Qafisha, Qutaiba, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Zalloum, Jihad, Demyati, Khaled, Hajhamad, Mohammed, Saqfalhait, Zain, Del Cid, Emmy Arrue, Rodriguez‐zentner, Homero, Abed, Francisco, Garayo, Rafael Osmar Adorno, Aguilar, Ruben, Aguilar, Ana, Maidana, Domingo Javier Aguilera, Casañas, Diego José Almada, Almiron, Teresa, Arrua, Analia, Avila, Pedro, Balmaceda, Brenda, Barreto, Alexandra, Galeano, Analy Barreto, Nuñez, Belinda Barrientos, Benegas, Magdalena, Berden, Martin, Bogarin, Amalia, Bonnin, Jorge, Barrios, Edulfo Britez, Burgos, Julio, Melgarejo, Carlos Fabián Cárdenas, Samudio, José De Jesus Casco, Cataldi, Sandra, Centurion, Jorge Augusto, Ramirex, Luz Maria Cespedes, Colina, Katerine, Almando, Gabriel Augusto Cuevas, De Bleecker, Karina, Dragotto, Antonella, Eiwa, Eiji, Enciso, Juan Carlos, Espinola, Carla, Estigarribia, Lujan, Fernandez, Celso Ariel, Ferreira, Rocio, Figueredo, Blas, Fleitas, Daniel, Fretes, Claudia, Fretes, Martin, Gonzalez, Walter Rene Fretes, Ruiz, Humberto Nicolas Galleano, Gauto, Julio, Gauto, Claudia, Gomez, Viviana, Gómez, Nadia, Insfran, Osvaldo, Karina, Liz, Legal, Christian, Llanes, Oscar, Martínez, Walter, Torres, Walter Rodrigo Martínez, Matsumura, Kiichiro, Galván, Esteban Daniel Mendoza, Noguera, Leila Mereles, Mora, Sergio, Navarro, Daniel, Roman, Lidia Noguera, Núñez, Analia, Ocampos, Lorena, Rojas, Alma Maria Ojeda, Villasboa, Derlis Joel Ojeda, Palacios, Juan, Sosa, Jessica Pamela Portillo, Ramírez, Rossana, Ramos, German, Samudio, Diego, Acosta, Jorge Eduardo Sisa, Tellez, Rodney, Urquhart, Porfiria, Vera, Beatriz, Florentin, Jorge David Vera, Vidallet, Daniel, Villalba, Gilce Teresita, Vömel, Jacob, Aquino, Laura, Martinez, Marisa Natalia, Patiño, Cesareo Saldivar, Aguayo, Omar, Aguilera, Maria Esther Ferreira, García, Federico, Giangreco, Maria, Osorio, Derlis, Sosa, Cynthia Marlene Rodríguez, Villanueva, Paulo, Rolon, Sandra Elizabeth Centurion, Ohara, Rozana, Portillo, Juan Marcelo, Cano, Ruben Milciades Varela, Melgarejo, Juan Manuel Baez, Candia, Francisco Vidal, Chirico, Carlos, Pineda, Sofia Belen Diaz, Vera, Diego Alfonso Paiva, Valdovinos, Ayrton Facundo, Velazquez, Dahiana Fatima, Arriola, Diego Raul Abente, Britos, Analia, Cantero, Daniel, Centurión, Jessica, Bareiro, Ricardo Ignacio Olmedo, Duarte, Dayhana, Paredes, Susana, Rojas, Carlos Pfingst, Delgado, Angel Luis Agüero, Godoy, Juan Marcelo Delgado, Lohse, Helmut Alfredo Segovia, Benitez, Oscar, Luraschi, Victor, Molinas, Joel, Añasco, Dulce, Barreto, Alejandro Arévalo, Rivaldi, Cristhian Chavez, Chenu, Martin, Garcia, Luz, Godoy, Rosana, Gustavo Miguel Machain, V, Velázquez, Maria Jose Martinez, Alvarenga, Brayan David Pedroso, Gonzalez, Agustin Rodriguez, Sánchez, Rosa, Sánchez, María Liz, Lohse, Herald Rene Segovia, Segovia, Cesar Giuliano Sisa, Cuenca, Osmar, Melgarejo, Sara, Ferreira, Ever David Sosa, Anaya, Estefany Angela Flores, Huallanca, Evy Yamil Huaman, Palma, Karla Melissa Marchan, Palomino, Liliam, Ordemar, Jorge, Quiroz, Manuel, Sarabia, Victor Diego Caballero, Lozano, Christian, Torres, David, Castro, Henry Rafael Acosta, Bayona‐alvarado, Gabriel, Cruz, Joao, Lizzetti, Grecia, Morales, Victor Vasquez, Ormeño, Martin, Ortiz, Liz, Roca, Kewin Quispe, Quispe‐cruz, Darwin Artidoro, Sanz, Edgar, Poma, Katherine Tataje, Seto, Gaby Susana Yamamoto, Palacios, Carlos, Mejia, Juan Francisco Pintado, Barandiaran, Jose Maria Silva, Huaman, Eduardo, Gamonal, Guillermo Enrique Reyes, Carmelo, Claudia Suazo, Condori, Diana Lizet Cruz, Valverde, Jose Vasquez, Cabrera, Cesar Alberto Vergel, Diaz, Consuelo, Caturiny, Angie Paredes, Salazar, Adolfo, Estupiñan, Joel Jesús Sánchez, Vaez, Marco Sandoval, Arangoytia, Roy, Berrospi, Francisco, Polo, Jorge Luis Bustamante, Coaquira, Jimmy Cárdenas, Escalante, Fernando Cárdenas, Armestar, Darwin Oliver Desposorio, Mora, Sheyla Katherine Diaz, Laura, Jheff, Blanco, Aldo Lopez, Garcia, Karoll Tatiana Meza, Moreno, Jaime, Payet, Eduardo, Villena, Joan Perez, Cardenas, Daniel, Barrionuevo, Luis Alcides García, Valencia, Miguel Roberto Li, Doria, Percy Mansilla, Escalante, Fiorella Palomino, Coronado, Mónica Falcón, Rocha, Pamela Valderrama, Edinson, Ulbar, Huarcaya, Vladimir Laureano Velasquez, Abella, Andrei Cesar, Andal, Carmela, Anoso, Willmar, Bejasa, Monica Maria, Cuasay, Aldrin, Fernandez, Jesus, Mercado, Eunice, Moreno, Amabelle, Palines, Alejandro, Regalado, Trina, Unira, Cristeta, Yacapin, Clarence Pio Rey, Cajucom, Carlo Angelo, Cueto, Mary Anne Carol, Ramos, Charmagne Loren, David, Avril, Merin, John Isaac, Roxas, Alberto, Candelario, Nipseey Pauloe, Lopez, Marc Paul, Ramos, Ramon Alberto, Violago, Khrissa Lea Elisa, Benosa, Yvann Kenneth, De Leon, Louie Czelline, Esguerra, Marlow, Filarca, Rene Luis, Gaddi, Corina, Gagno, Patrick Jovan, Guerra, Jeffy, Morla, Angelica Aubrey, Opano, Rivero, Penserga, Edgardo, Tesil, Mark Jheric, Turingan, Hazel, Aldana, Joel, Almelor, Alyssa Carmina, Almora, Jaime JR, Ang, Angeli Anne, Arada, Maria Angelica, Arbizo, Jeric, Barretto, Diana, Baticulon, Ronnie, Chan, Kevin Ivan P., Cruz, Elmer Jason, Grano, Pauleen, De Leon, Juan Gabriel, De Pano, Jojiemar, Dealino, Maria Angela, Mundo, Daryl Anne, Del Mundo, Hans Jesper, Dela Victoria, Czarlo, Delgado, Juan Miguel Roberto, Detran, Jan Erik, Diaz, Robert Zaid, Dinoy, Edward Arlu, Domingo, Efren, Dulnuan, Heather Grace, Patricio, Dumlao, Elises, Carlo, Estrella, Emmanuel, Flor, Joan Marie, Gana, Grace, Bynlee Stuart, Go, Hilvano‐cabungcal, Ana Melissa, Cesar, Jacinto, Lacuata, Jan Alexeis, Lapitan, Marie Carmela, Laudato, Renee Leen, Legaspi, Gerardo, Ryle, Li, Lobo, Liana Mae, Lukban, Claudine, Macapugay, Christopher John, Magsanoc, Nikko, Manalang, Enrique, Montemayor, Jon‐alexis, Notario, Jaysonnel, Santos, Jan Armelynn, Sarmiento, Abigail, Serrano, Dennis, Siahetiong, Samantha, Solis, Krisniel Florence, Sotalbo, Denorson, Tongol, Erik, Ursabia, Germaine, Patricia Ann, Uy, Valeros, Charmaine Grace, Velasco, Karen Joyce, Venida, Vincent, Yap, Hans Edison, Zamora, Mario Angelo, Agoncillo, Anika Johanna, Antonio, David Vincent, Bangayan, Nicole Robyn, Castro, Marinelle, Estanislao, Grace Lynn, Ganal‐antonio, Anne Kathleen, Ibrahim, Faiyazudin Amado, Jarin, Peter, Ching, Laine Valerie Kongsun, Lim, Josephine Alexandra, Nazal, Mariles, Vaño, Amanda May Ong, Racelis, Louie, Ramos, Kirsten, Reyes, Jeryl Anne Silvia, Rivera, Ron Daniel, Salud, Jose Antonio, Sarte, Elva Marita, Dale Kingsley, Sy, Tancinco, Eileen Grace, Torio, Anna Mariel, Avegail Niña, Uy, Abary, Ryan Rainiel, Jesus, Dabalos, Siquian, Vincent, Yabut, Kenneth, Barcelon, Jose Carlos, Carballo, Inez, Chiu, Jo Ann, Nacion, Aeris Jane D., Pędziwiatr, Michał, Rymarowicz, Justyna, Bobiński, Marcin, Kotarski, Jan, Rasoul‐pelińska, Karolina, Futyma, Konrad, Miotla, Pawel, Rechberger, Ewa, Koczy, Bogdan, Szyluk, Karol, Botelho, Pedro, Lopes, Mariana Branco, Cismasiu, Brigitta, Costa, Paulo Matos, Fallah, Jean‐michel, Freitas, Gonçalo Teodoro Fernandes, Ferreira, Filipa, Nobre, José Guilherme Gonçalves, Henriques, Susana, Lino, Rui, Macedo, Alexandre, Mendes, Cláudia, Barreira, Ana Lúcia Preto, Ramos, Nuno, Rodrigues, Susana Candeias, Santos, Catarina Rolo, Pedro, Ricardo São, Silva, Melissa, Sousa, Carla, Ribeiro, Rui, Santos, José, Alves, Ricardo, Teles, Tobias, Sousa, Liliana B., Carvalho Carvalho, Dulce Helena Ferreira, Soares, Rui Costa, Costeira, Cristina, Graveto, João, Jordão, Daniel Martins, Paiva‐santos, Filipe, Parreira, Pedro, Sousa Salgueiro Oliveira, Anabela, Azevedo, Constança, Machado, Daniela, Semião, Miguel, Bolota, Joana, Cinza, Ana Margarida, Cotovio, Manuel Damasio, Leandro, Sofia, Oliveira, Joana, Lima, Rita Pedroso, Pereira, Mário, Velez, Cristina, Cardoso, Nicole, Domingues, Joana Cristina, Henriques, Pedro, Manso, Maria Isabel, Martins, Ruben, Santos, Gildasio Martins, Morais, Henrique, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Ribeiro, Ricardo, Sousa, Sandra, Teixeira, João, Cabral, Ana, Rodrigues, Catarina S., Alves, Paulo, Ferreira, Gonçalo, Neves, Miguel, Rama, Nuno, Sousa, Inês, Almeida, Mafalda, Morais, Ricardo Bettencourt, Campos, Ana, Caroça, Cristina, Bártolo, Mariana Couto, Galindo, Luis, Girao, Ricardo, Pais, José, Vaz, Carlos, Messias, Jose Henrique Albuquerque, Silva, Francisca Brito, Fonseca, Filipa, Maurício, Sandra, Peyroteo, Inês, Ramos, Rodrigo, Salgado, Inês, Santos, Patrícia, Forte, Joana Patena, Santos, Ema, Costeira, Beatriz, Neves, Filipe, Ourô, Susana, Ferreira, Marisa Peralta, Fernandes, Mafalda Sousa, Almeida, Joana Isabel, Almeida Pinto, João, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), GlobalSurg Collaborative, Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, AGEM - Endocrinology, metabolism and nutrition, ARD - Amsterdam Reproduction and Development, Paediatrics, Tytgat Institute for Liver and Intestinal Research, Nepogodiev, D., Simoes, J. 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Y., Ghozy, S., Sallam, A., Shehta, A., Abdelkhalek, M., Samaka, R., Morsy, A., Sherif, A. E., Negussie, A., Fisseha, T., Shumbash, K., Abebe, M., Yasin, S. M., Akililu, Y. B., Megersa, A., Tefera, T., Assefa, M., Atnafu, B., Tsegaye, B., Bezabih, Y. S., Sisay, S., Bekele, K., Jira, M., Derilo, H., Degefa, E., Tadesse, A., Nidaw, M., Sarjanoja, E., Testelin, S., Boucher, S., Jouffret, L., Lakkis, Z., Le Bian, A. Z., Harper, L., des Deserts, M. D., Andre, B., Slim, K., Verhaeghe, R., Police, A., Girard, E., Chebaro, A., Nkembi, A. S., Arnalsteen, L., Ballouhey, Q., Mege, D., Jeandel, C., Duchalais, E., Bouche, P. -A., Manceau, G., Cretolle, C., Hervieux, E., Girard, N., Seguin-Givelet, A., Gaujoux, S., De Simone, B., Boisson, M., Bergeat, D., Fredon, F., Nappi, F., Kassir, R., Scalabre, A., Migliorelli, F., Ezanno, A. -C., Seeliger, B., Vaysse, C., Charbonneau, H., Misrai, V., Abbo, O., Angeles, M. A., Brunaud, L., Modabber, A., Wolf, S., Kamphues, C., Hohn, P., Glowka, T. 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M., Donlon, N., Cullinane, C., Creavin, B., Muheilan, M., Earley, H., Kabir, S. M. U., Fahadullah, M., Ryan, E., Connelly, T., Hashimoto, D., Alqudah, M. A., Alajalen, A., Omari, R. Y., Qasem, A., Alawneh, Y., Ahmad, A., Aladawi, O., Alrayes, B., Haidar, H., Husain, S., Qassem, F., Sumadi, A., Salhiyeh, A. A., Al-Manaseer, B. M., Alsunna, Z., Ra'Ed, H., Hamad, F. R. B., Abuleil, A., Jimaale, E. A. M., Abu-Mehsen, M., Olaywah, N., Wafi, O., Ababneh, H., Abu-Ismail, L., Khamees, A., Alkhatib, A., Bolatbekova, R., Kulimbet, M., Nurgozhin, T., Saliev, T., Zhussupov, B., Almabayev, Y., Kaidarova, D., Tamoos, K., Aqeelah, A., Mohammed, A. A. K., Al Maadany, F., Alkadeeki, G., Gahwagi, M., Aldressi, W., Amnaina, M., Alansari, A. H. A., Alkaseek, A., Yagoub, G., Amer, A. B., Salem, M., Almugaddami, A., Burgan, D., Abdelkabir, M., Alshareef, K., al Islam Ben Jouira, R., Meelad, A., Bouhuwaish, A., Dwaga, S. 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M., Recabal, P., Sandoval, C., Fonseca, B. C., Contador, M., Hodali, A., Pincheira, C., Mantilla, A. R., Garrido, C. S., Torres, J., Valenzuela, M., Chen, Z., Hu, J., Tao, J., Yang, K., Zhang, Y., Chen, Y., Cunchuan, W., Yang, W., Bai, X., Liang, T., Ma, T., Pu, N., Yin, H., Caicedo, C., Beltran, D. F. T., Escobar, A., Granados, C. P., Pinzon, L. A. U., Bonilla, C., Santana, D., Serrano, O., Garcia, A., Luque, F. G., Patino-Jaramillo, N. G., Baquero, L. G. C., Botero, N. A. M., Castellanos, J. A. M., Calvera, A. J. V., Acosta Buitrago, L. M., Bohorquez-Tarazona, M. P., Rivera, P. A. C., Felipe Casas, J., Alfaro, V. C., Corso, J., Guerra, B., Guerrero-Becerra, A. F., Abiyomaa, A. K., Montes, F. R., Paz, M. S. M., Sandoval, C. A. P., Quintana, N., Ortega, C. F. R., Santacruz, C., Tellez, M., Sanchez, C. A. V., Arias-Amezquita, F., Vargas, L. F. C., Murgueitio, N. C., Escorcia, E., Ghotme, K. A. G., Gomez-Mayorga, J. L., Vergel, A. F. 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K., Darwesh, A., El Fiky, L., Elgarhy, I., Nassef, M. A., Shaban, M., Shalaby, M. M. M., Wahba, A., Fouad, O. Y. O., Elsadek, M., Gad, D., Abdelsamed, A., Bayomy, A., Elsalhy, M., Fahim, A., Seleim, A., Afifi, E., Gamal, F. A., Gamal, M., Eldesouky, O., Eldwini, M. H. E. E., Fahmy, M. M. F., Hussein, A., Ouf, A., Sami, O., Shaat, S., Bahi, A. W. M. K., Atea, A., Gamal, I., El Kassas, M., Omar, W., Tawheed, A., Al-oribi, S., Aly, N. K., Elfiky, M., Elmaghraby, A. E., Elrahmany, A., Elsherbeeny, M., Helmy, Y., Nabil, A., Farahat, A. S., Soliman, M., Wassef, A., Abdelrahman, A., Elsaban, S., Ghaly, G., Hamdy, R., Mondy, H., Abdallah, L., Darwish, A. K. Z., Rabea, M., Azab, M. A., Abbas, A. S., El-Deeb, M., Fawzy, M., Ibraheem, M., Bakry, A., Elnems, S., Elsheikh, R., Gbreel, M. I., Hafez, M., Jammal, M., Hamam, K. M., Makram, A. M., Makram, O. M., Rabie, S., Askalany, S. Y., Abushanab, M. M. I., Eid, A., El Ghalid, M. R. I. A., Abdelaty, A. A., Fayad, E. A., Radwan, A., Shokry, A., Farouk, A. M., Elfallal, A., Elfeki, H., Elsaeed, M., Elsaid, M., Makroum, A., Elsaid, D. M., Mostafa, M., Omar, M. W., Rezk, M., Sakr, A., Sanad, A., Shalaby, M., Shawqy, M., Shetiwy, M., Shoma, A., Tawakl, N., Yunes, A., Abouzid, A., Atallah, K., Elmorsi, R., Elsherbini, A., Gaballa, K., Hamdy, O., Metwally, I. H., Refky, B., Zuhdy, M., Zahran, M. A., Abdellah, F., Abdelmawla, A., Abdrabou, A., Abubakr, A., Al Gohary, R., Al-Shazly, M. H., Allam, A. R., Aposaeeda, A., Asfour, M., Ayman, A., Omran, A. A., Daghash, I. T., Ebada, M. A., Eid, T., El Kelany, A., El Shemy, E., El-Hag-Aly, M., Elgamal, O., Elghoury, M., Elkased, A. F., Ellakwa, T. H., Ellakwa, H., Elmeanawy, A., Elnoamany, S., Elsabagh, A., Elsawey, A., Elshabrawy, E., Elshakhs, S., Elsoudy, N., Ezzat, E., Fawzy, A., Gamal, A., Gameel, A., Gharbia, K., Ghonaim, M., Ghonaim, A., Hafez, A., Ismail, Z., Khaled, M., Meselhy, M., Mikhail, P., Mougahed, M., Mustafa, A., Nada, A., Omran, J., Ebiad, M. S., Saleh, I., Salem, N., Salem, O., Selim, S., Shalaby, G., Sherif, H., Soltan, H., Wahbah, M., Abdelbary, E. Z., Zayan, A. H., Afify, A., Hadiya, H. A., Elshref, M. J., Ahmed, M. M., Nasser, N., Abdeldayem, H., Salama, I. A., Ammar, K., Ayoub, I., Badawy, M. T., Balabel, M., Fayed, Y., Gad, E. H., Gomaha, M., Hammad, E., Hegazy, O., Hegazy, E., Ibrahim, T., Kallaf, M., Macshut, M., Magdy, A., Oteem, A., Samaan, S., Sharshar, M., Shoreem, H., Soliman, E., Soliman, H. E., Yassein, T., Zakaria, H., Eldaly, A., Mashaly, S., Abd-Elsalam, S., Abdel-Elsalam, W., Shaalah, A. A., Elbahnasawy, M., Elhalaby, I., Hamada, M., Soliman, S. H., Hawila, A., Morsy, M. S., Naieem, M., Nasreddin, M., Salman, S., Sarsik, S., Shabana, A., Tolba, E., Zagho, M., Kams, L., Ratsep, T., Riips, K., Abdurehman, O., Admasu, A., Berhea, A., Eado, Y., Hailu, N., Kidane, M., Mohammed, A., Mohammed, K., Tibelt, A., Woldemariam, M. A., Yonael, L., Alemu, M., Aklilu, A. T., Asele, F., Assefa, S., Azmach, D., Bekele, P., Mamo, M., Maru, N., Mekuria, H., Menkir, A., Mikru, F., Siraw, E., Suga, H., Sumoro, N., Teka, A., Thomas, E., Woldemariam, D., Wubishet, E., Abebe, E., Abebe, K., Asfaw, F., Bergene, E., Eshete, M., Gebrehiwot, F. G., Gedefaw, Y., Mengesha, M. W., Mengiste, N., Menjeta, A., Muleta, M. B., Sefera, S., Tedla, Y., Teklu, D., Teshome, H., Tirfe, L., Tsegabrhan, S., Tsehaye, M., Worku, B., Molla, M., Supha, M., Taye, T., Abebe, N., Alemu, B., Chanie, A., Degefu, H., Desalegn, D., Gebre, H., Hussen, H., Kassa, D., Laeke, T., Mammo, T. N., Negash, S., Sahlu, A., Tiruneh, A. G., Wolde, A., Woldeselassie, H. G., Ahmed, M. Y., Zewdneh, B., Fentaw, J., Salia, S., Tabore, K., Gurara, A., Abreha, T., Abrha, T., Beyene, G., Weldu, M. A., Abdissa, D., Tesfaw, M., Wolle, M., Asmamaw, D., Assefa, B. Z., Bedane, D., Bekele, E., Getie, A., Melkamu, S., Mengesha, W., Shumye, G., Tagele, G., Tesfa, A. A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. P., Bettoni, J., Dakpe, S., Devauchelle, B., Lavagen, N., Bastard, F., Bin, K., Breheret, R., Fouquet, O., Gueutier, A., Henric, N., Kahn, A., Kun-Darbois, J. -D., Moukoko, D., Pineau, A., Podevin, G., Schmitt, F., Alshawared, F., Beyrne, C. D., Lugans, L., Marie-Macron, L., Doussot, A., Ahmed, O., Alnajjar, L., Mis, T. C., Fliss, S., Giocanti-Auregan, A., Gregory, T., Guiraudet, P., Le Fouler, A., Martinod, E., Onorati, I., Peretti, M., Quilichini, J., Radu, D., Tresallet, T., Andro, C., Maffert, A., Chapman, T., Halden, M., Fayon, J., Mattevi, C., Marion, H., Bendjemar, L., Lionel, C., Mikhael, E., Macias, R. M., Villefranque, V., Volpin, E., Trilling, B., Boleslawski, E., Constance, H. -L., Drubay, V., El Amrani, M., Eveno, C., Lecolle, K., Martin, L., Noiret, B., Piessen, G., Truant, S., Zerbib, P., Aubry, E., Denimal, F., Lamblin, A., Barrat, B., Caire, F., Christou, N., Fourcade, L., Laloze, J., Bouv-Hez, M. M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. G., Goumard, C., Hasani, A., Lim, C., Martellotto, S., Melot, C., Menegaux, F., Pinar, U., Pocard, M., Roupret, M., Scatton, O., Seisen, T., Severine, N., Turco, C., Chouillard, E., Beganton, P., Frasca, D., Kerforne, T., Corbiere, L., Gasmi, A., Ghemame, M., Guerin, S., Khene, Z. -E., Livin, M., Mahmoud, F., Maillot, B., Merdrignac, A., Mouriaux, F., Robin, F., Sulpice, L., Vazeux, C., Bertheuil, N., Bonneau, S., Cazemajou, C. T., Cousin, I., Defert, C., Fustec, E., Juricic, M., Lavoue, V., Mevel, G., Timoh, K. N., Renault, A., Violas, P., Schwarz, L., Tuech, J. J., Morichau-Beauchant, T., Sauvat, F., Haddad, E., Vermersch, S., Patrizi, A., Roux, A., Aime, A., Malgras, B., Cherkaoui, Z., D'Urso, A., Felli, E., Gonzalez, C. A., Ignat, M., Mutter, D., Pessaux, P., Vix, M., Gornes, H., Vergriete, K., Berthoumieu, P., Genre, L., Le Gall, H., Pierre, T., Chalhoub, M., Del, M., Martinez, A., Fuchs-Buder, T., Vancon, A., Faya, C. A., Asaph, E., Baruwa, E., Hofman, G., Machemedze, S., Idiata, M. M., Muhemi, R., Ndizeye, O., Nkunzimana, E., O'Connor, J., O'Connor, Z., Tchoba, S., Boumas, N., Devidze, G., Pisarevi, G., Baumgarten, S., Grusser, L., Holzle, F., Kowark, P., Kowark, A., Rossaint, R., Schafer, B., Wallqvist, J., Winnand, P., Ziemann, S., Anthuber, M., Broecheler, T., Edlinger, F., Gosslau, Y., Hyhlik-Duerr, A., Maksymiw, F., Shiban, E., Sommer, F., Sommer, B., Zerwes, S., Beyer, K., Lauscher, J. C., Lee, L. D., Loch, F. N., Schineis, C., Aghalarov, I., Belyaev, O., Braumann, C., Enste, A., Fahlbusch, T., Herzog, T., Horn, J., Jedanowski, J., Knipschild, J., Luu, A. M., Mohan, P. V., Siemen, L., Slobodkin, I., Strotmann, J. J., Uhl, W., Wolf, K., Coburn, M., Egger, E., Eichhorn, K., Enderes, J., Far, F., Franzen, A., Guresir, E., Hadjiathanasiou, A., Kalff, J. C., Kohistani, Z., Manekeller, S., Mustea, A., Probst, C., Randau, T., Recker, F., Schuss, P., Strassberger-Nerschbach, N., Strieth, S., Treede, H., van Beekum, C. J., Vatter, H., Velten, M., Vilz, T. O., Wirtz, D., Wittmann, M., Behr, M., Bulian, D. R., Marche, B., Moczko, T., Otchwemah, R., Schulz, S. -A., Thomaidis, P., Bruns, C., Cursiefen, C., Domrose, C., Fuchs, H., Heindl, L. M., Mallmann, M. R., Mallmann, C., Ratiu, D. A., Canzler, U., Distler, M., Korn, S., Meisel, C., Meusel, M., Petzold, A., Praetorius, C., von Renesse, J., Weitz, J., Wimberger, P., Alkhanji, N., Fung, S., Jaber, K., Knoefel, W. T., Vay, C., Clonda, O., Cottin, T., Juodiene, E., Juodis, D., Petrovic, B., Solodarenko, O., Binder, J., Grutzmann, R., Hackner, D., Junker, S., Arsalan, M., Banek, S., Chun, F., Faqar-Uz-Zaman, S. F., Keese, D., Kluth, L., Rolle, U., Van Linden, A., Walther, T., Bayer, J., Beck, J., Fung, C., Kraus, L. M., Leiber, C., Neidert, N., Sandkamp, R., Schnell, O., Schulte, A., Strahle, J., Jarmusch, S., Novotny, H. F. G., Becker, J., Fulghum, C., Gonschor, B., Herbolzheimer, M., Nicolaiciuc, S., Trulson, A., Vogelsang, H., Zimmermann, B., Akbari, A. A., Boening, A., Edinger, F., Hecker, M., Knitschke, M., Koch, C., Reichert, M., Schmidt, G., Schneck, E., Uhl, E., Nobrega, S. F., Kauffmann, P., Miller, C., Nemeth, M., Sievers, D., Kisser, U., Kleeff, J., Klose, J., Lorenz, K., Papendick, N., Plontke, S., Seiwerth, I., Steer, S., Thomssen, C., Ukkat, J., Dumpies, C. W., Gessner, M., Hanke, J., Klauke, F., Leuschner, S., Mendel, T., Muller, K., Schmidt, B., Schreiter, V., Stosberg, P., Vinz, F., Herbig, B., Sander, J., Schulte, T. M., Betz, C. S., Bewarder, J., Bier, J., Bottcher, A., Burg, S., Busch, C. -J., Bussmann, L., Gosau, M., Heuer, A., Izbicki, J., Klatte, T. O., Konig, D., Kopke, L. -G., Moeckelmann, N., Praetorius, M., Priemel, M., Stadlhofer, R., Stangenberg, M., Uzunoglu, F. G., Wittig, L., Zech, H., Zeller, N., Roux, F., Spaeth, T., Fricker, R., Muller, T., Schroder, L., Alasmari, M., Boeker, C., Hakami, I. A., Mall, J. W., Kyritsis, I., Graeb, C., Huber-Strossner, K., Branzan, D., Doss, M., Gockel, I., Jodicke, C., Osterhoff, G., Pempe, C., Sucher, R., Adler, T., Kelly, K., Merkle, J., Siebert, J., Hirche, C., Kneser, U., Tapking, C., Agrawal, R., Qureischie, H., Croner, R., Koslowski, L., Krause, H., Meyer, F., Turial, S., Al-Nawas, B., Battista, M. J., Goedeke, J., Hasenburg, A., Heider, J., Mueller, L. K., Zeller, S., Jentschura, S. L. P., Kowalewski, K. -F., Kriegmair, M., Mannle, D., Reissfelder, C., Rotter, N., Scherl, C., Seyfried, S., Kirschniak, A., Rolinger, J., Wilhelm, P., Bader, F. G., Ottl, S., Behr, A. V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. T., Bertolani, E., Steidle, C., Uberruck, L., Yurttas, C., Ziegler, P., Zimmermann, A., Bolenz, C., Dayan, D., Greve, J., Hoffmann, T. K., Janni, W., Lobig, N., Schochter, F., Vahl, J. M., Wezel, F., Greif, V., Schmidbauer, S., Marsch, I., Schneider, R., Boenicke, L., Degener, S., Dreger, N. M., Horstmeier, F. C., Kruschwitz, J., Rombach, A., Schmidt, N., Seiberth, R., Singh, J., Smit, M., von Rundstedt, F. -C., Zirngibl, H., Diessner, J., Friedrich, S., Germer, C. -T., Helmer, P., Herrmann, J., Kranke, P., Kubler, H., Lock, J., Lotz, C., Meffert, R., Meybohm, P., Muller, S., Notz, Q., Popp, M., Schlegel, N., Schlesinger, T., Schmid, B., Sitter, M., Steinisch, A., Treutlein, A., van den Berg, A., Wurmb, T. E., Agyeman-Duah, N. K., Appiah, E., Armah, R., Asare, C., Awere-Kyere, L., Daary, D., Gakpetor, D., Allah, S. M., Obbeng, A., Osei-Poku, D., Puozaa, D., Tackie, E., Adu-Aryee, N. A., Agboadoh, N., Asare, O., Bowan, A. B., Brown, G. D., Clegg-Lamptey, J. -N., Dedey, F., Dery, C., Fenu, B. S., Harrison, M. A., Kumassah, P., Kuuzie, E., Nsaful, J., Olayiwola, D. O., Smith, C., Banka, C., Hussey, R., Azize, D. A., Aniakwo, L. A., Adofo-Asamoah, Y., Agbeno, E. K., Agyapong, M. M., Agyen, T., Mensah, K. A., Alhassan, B. A. B., Amoako-Boateng, M., Appiah-Thompson, P., Gyimah, N. A. -M., Asante-Bremang, M., Asante-Asamani, A., Atawurah, H., Appiah, A. B., Baidoo, R. O., Baidoo, E. I., Boakye, B., Boateng, A., Dadoe, D., Dayie, M. S. C. -J. K., Debrah, S., Doku, K., Enti, E., Ken-Amoah, S., Koggoh, P., Kpangkpari, R., Maison, P., Mensah, S., Mensah, P., Mensah, T. A., Morna, M. T., Nimako-Mensah, J., Nkrumah, J., Nortey, M., Ofori, E. O., Opandoh, I. N. M., Osei-Tutu, E., Adae, J. O., Quansah, K., Quartson, E., Rahman, G. A., Walawah, D., Yigah, M., Yussif, S., Jiagge, N., Nachelleh, E., Acquaye, J., Agbedinu, K., Agyei, F., Agyemang-Prempeh, A., Amo-Antwi, K., Amoah, M., Amoah, G., Amoako, Y. A., Aning, D. G., Ankobea-Kokroe, F., Mintah, D. A., Anyitey-Kokor, D., Appiah-kubi, A., Arthur, J., Ativor, V., Barnor, I., Braimah, Y., Darko-Asante, R., Davor, A., Issahalq, M. D., Dzogbefia, M., Emile, T., Fiifi-Yankson, P., Gaveh, V., Gudugbe, S., Gyabaah, S., Gyamfi, F. E., Gyedu, A., Gyimah, D., Hammond, B., Jonathan, B. -Y., Joseph, Y., Konney, T. O., Konney, A., Kusi, K., Kyei, I., Lovi, A., Naabo, N., Nimako, B., Nyadu, B., Nyarko, O. O., Ofosu-Barko, B. B., Oppong, P. P., Osabutey, A., Poku, M., Sagoe, R., Yifieyeh, A., Ansong, G., Abass, A., Abdul-Mumin, A., Adjeso, T., Alatiiga, J. A., Amadu, M., Annan, N., Leal, G. A., Bukari, M., Buunaaim, A., Cheyuo, E., Salifu, L. D., Damah, M., Dery, M., Dzantor, E. K., Garcia, O. G., Baba, Y. I., Issaka, A., Muntaka, A. -J. M., Murphy, J., Agyeman, Y. N., Amankwaa, W. O., Osman, I., Pie, S., Seidu, A. S., Sheriff, M., Charadan, A. M. S., Titigah, A., Yahaya, M., Yakubu, M., Yenli, E. M. T. -A., Grypiotis, I., Kiriakopoulos, N., Koliopoulos, G., Kyvelos, V., Micha, G., Papadopoulou, T., Balalis, D., Fradelos, E., Korkolis, D., Alexakis, N., Angelou, K., Haidopoulos, D., Prodromidou, A., Rodolakis, A., Thomakos, N., Psychogios, D., Antonakis, P., Bramis, K., Chardalias, L., Contis, I., Dafnios, N., Dellaportas, D., Dimitra, P., Fragkoulidis, G., Gkiokas, G., Gklavas, A., Hadjizacharias, T., Karageorgou, D., Konstadoulakis, M., Kontopoulou, C., Massaras, D., Memos, N., Papaconstantinou, I., Politis, D., Polydorou, A., Stamatis, K., Theodosopoulos, T., Vezakis, A., Avgerinos, K., Katunin, J., Kechagias, A., Kelgiorgi, D., Kritikos, N., Pengerma, P., Bisdas, T., Ioannidis, A., Konstantinidis, M., Konstantinidou, S., Patelis, N., Antonopoulou, M. I., Deskou, E., Kalles, V., Manatakis, D. K., Stamos, N., Tasis, N., Arkadopoulos, N., Danias, N., Economopoulou, P., Frountzas, M., Kokoropoulos, P., Michalopoulos, N., Selmani, J., Sidiropoulos, T., Vassiliu, P., Paraskevas, K. I., Bartziotas, D., Bouchagier, K., Galanis, I., Kalamatianos, T., Kapiris, S., Kolinioti, A., Mavrodimitraki, E., Metaxas, P., Nikova, A., Psarologos, M., Sotiropoulou, M., Stranjalis, G., Albanopoulos, K., Kondilis, P., Vrakopoulou, G. Z., Chrysovergis, A., Chrysovitsiotis, G., Giotakis, E., Kanellopoulou, V., Kyrodimos, E., Larentzakis, A., Pantos, P., Papanikolaou, V., Potamianos, S., Theodoropoulos, C., Triantafyllou, A., Triantafyllou, T., Georgousi, K., Panagiotou, P., Avramidis, E., Babis, G., Zafeiris, E., Antoniou, A., Bessias, N., Maras, D., Papas, T., Roditis, K., Tsagkos, I., Tsiantoula, P., Alexandrou, A., Baili, E., Charalabopoulos, A., Dimitroulis, D., Dorovinis, P., Garoufalia, Z., Kanavidis, P., Karavokyros, I., Karydakis, L., Kykalos, S., Kyros, E., Machairas, N., Mastoraki, A., Nikiteas, N., Papalampros, A., Schizas, D., Skotsimara, A., Stamopoulos, P., Syllaios, A., Terras, A., Tomara, N., Tsourouflis, G., Vagios, I., Zografos, C., Apostolou, K., Georgopoulos, N., Antoniou, T., Antzaka, C., Falara, A., Fragoulis, S., Ftikos, P., Matsouka, F., Perreas, K., Rellia, P., Samara, E., Smirli, A., Tasouli, A., Thanopoulos, A., Chalkias, P. L., Dedemadi, G., Mourmouris, P., Skolarikos, A., Theochari, N., Tzelves, L., Gaitanakis, S., Milas, T., Theodorakis, E., Karona, P., Kastanaki, P., Tzouganakis, A., Agalianos, C., Tsouknidas, I., Xenakis, A., Chrysos, E., Lasithiotakis, K., Nikolouzakis, T., Xenaki, S., Xynos, E., Lostoridis, E., Nagorni, E. -A., Pujante, A., Tourountzi, P., Al, A., Baxevanidou, K., Bouliaris, K., Efthimiou, M., Kalfountzos, C., Koukoulis, G., Lachanas, V., Petropoulos, K., Tsitiridis, I., Angelis, F., Arnaoutoglou, E., Baloyiannis, I., Bareka, M., Bouronikou, A., Christodoulidis, G., Daponte, A., Fergadi, M., Gkolias, N., Gkrinia, E., Hajiioannou, J., Kalogritsas, N., Karoni, E., Korais, C., Krestinidis, G., Ktisti, A., Magouliotis, D., Maiou, C., Malizos, K., Minasidou, M., Ntalouka, M., Ntziovara, A. M., Palla, E., Perivoliotis, K., Saini, F., Samara, A., Saratziotis, A., Skoulakis, C., Solomi, E., Stamoulis, K., Terzoudis, C. 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K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. S., Bachawat, S., Bachhav, S., Badhe, V., Badhwar, S., Basa, V. I. K. A. S., Bothara, V., Chattopadhyay, S., Chaudhari, S., Chavan, R., Chawathe, P., Dadhich, S., Dalal, A., Date, A., Deshpande, M., Dev, P., Dongre, N., Doshi, A., Gade, M., Gajjar, S., Gawande, M., Ghalme, A., Ghugare, B., Gupta, I., Jain, M., Jenasamant, S. S., Joshi, V., Kalwadia, N., Kapadia, N., Kattana, H. B. R., Kaushik, T., Kayal, A., Kovale, S., Kulkarni, Y., Kumar, K., Kumawat, K., Lad, V., Maskara, N., Mistry, R., Mohanty, S. R., Motwani, K., Mulchandani, M., Nadkarni, M., Pandey, S., Parab, M., Pardiwala, D., Patkar, A., Pawar, N., Pawar, A., Pednekar, A., Peshattiwar, V., Pokharkar, H., Potdar, O., Pothare, A., Rahmani, F., Rajput, S., Narendra, N. R., Rao, A., Rao, S., Rohela, H., Sakhrekar, R., Salunkhe, D., Sandlas, G., Sarkar, H., Satpathy, A., Sekhar, R., Shelke, Y., Shetty, S. S., Shetye, S., Kulkarni, A. S., Singal, U., Solanki, F., Sonawane, R., Thete, R., Vhatkar, R., Vora, S., Waigankar, S., Wasnik, S., Yadav, M., Yedave, R., Acharya, H., Bangar, A., Bharucha, M., Dhumane, P., Karmarkar, S., Nathani, R., Nehe, A., Nene, A., Noronha, W. J., Palapalle, N., Patel, P., Poyyil, D., Redkar, R., Shah, M., Tewari, S., Bakshi, G., Chaudhari, V., Deshmukh, A., Desoouza, A., Nair, D., Nayak, P., Patkar, S., Puri, A., Qureshi, S., Shetty, P., Shylasree, T., Thakkar, P., Thiagarajan, S., Tiwari, V. K., Voppuru, S. R., Soni, A., Soni, G., Alam, J., Bagaria, D., Bajpai, M., Bisoi, A. K., Chauhan, S., Choudhary, N., Chouhan, R. S., Chumber, S., Farooque, K., Gudala, V., Joshi, M., Kabra, A., Kale, S. S., Kumar, S., Mahajan, D., Malhotra, R., Menon, P. R., Misra, B., Mittal, S., Parshad, R., Priyadarshini, P., Sagar, S., Sharma, P. B., Sharma, V., Trikha, V., Tyagi, M., Bansal, K., Varma, K., Bhardwaj, R., Mittal, A., Ponnusamy, S., Singh, G. R., Tuli, I., Bhor, P., Dhar, S., Kale, S., Aggarwal, M., Gupta, H., Deshpande, A., Gadekar, A., Jaysingani, T., Panjwani, T., Patil, R., Vaidya, N., Vishwakarma, S. K., Wayal, U., Dutta, D., Arora, R., Dhingra, M., Garg, P. K., Huda, F., Kandwal, P., Kant, R., Seenivasagam, R. K., Joshua, L. M., Poonia, D. R., Rajput, D., Sadhasivam, S., Singh, V., Chandanwale, K., Philip, M., Thorat, V., Choudhury, Y., Das, D., Das, M., Goala, S., Laskar, F. Y., Laskar, P., Malik, K., Sarkar, A., Singha, S. T., Singha, M. N., Singha, D., Srungavarapu, G., Tapkire, R., Tling, S., Andrabi, S. M. I., Bhat, G. A., Chowdri, N., Kour, R., Parray, F., Shah, Z. A. M. I. R. A. H. M. A. D., Wani, R., Adamala, S., Gowder, R., Hegde, S., Mashitha, M. S., Sreeram, S., Ankadavar, S., Bafna, D., Dhanani, B., Ingle, N., Jadhao, P., Joseph, S., Kapote, S., Karkada, S., Lad, P., Lohia, R., Madje, S., Narasiman, V., Chisthi, M., George, G., Jothi, H., Pareed, D., Mathew, G. D. C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
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Male ,pulmonary embolism ,Internationality ,Settore MED/18 - CHIRURGIA GENERALE ,Deep vein ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,infectious diseases ,Cardiovascular ,SARS‐CoV‐2 ,surgery ,COVID-19 ,SARS-CoV-2 ,deep vein thrombosis ,venous thromboembolism ,Cohort Studies ,Postoperative Complications ,Anesthesiology ,Medicine and Health Sciences ,Prospective Studies ,610 Medicine & health ,Prospective cohort study ,Lung ,11 Medical and Health Sciences ,Confounding ,Hematology ,Middle Aged ,Thrombosis ,17 Psychology and Cognitive Sciences ,Pulmonary embolism ,medicine.anatomical_structure ,Cohort ,COVID-19/complications ,Postoperative Complications/etiology ,Original Article ,Female ,Patient Safety ,Life Sciences & Biomedicine ,Human ,Adult ,medicine.medical_specialty ,Adolescent ,Clinical Sciences ,GlobalSurg Collaborative ,Venous Thromboembolism/etiology ,NO ,COVIDSurg Collaborative ,Young Adult ,Medicine, General & Internal ,Age Distribution ,Clinical Research ,COVID‐19 ,General & Internal Medicine ,medicine ,Humans ,Sex Distribution ,Aged ,Science & Technology ,business.industry ,Prevention ,Neurosciences ,deep vein thrombosi ,Pneumonia ,Odds ratio ,Original Articles ,medicine.disease ,Surgery ,Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10] ,Prospective Studie ,Good Health and Well Being ,Anesthesiology and Pain Medicine ,Human medicine ,Postoperative Complication ,Cohort Studie ,business ,Venous thromboembolism ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality (5.4 (95%CI 4.3-6.7)). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly. ispartof: ANAESTHESIA vol:77 issue:1 pages:28-39 ispartof: location:England status: published
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- 2022
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11. Outcomes of patients with invasive mucinous and tubular carcinomas of the breast
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Emmanuel Gabriel, Subhasis Misra, Kai Huang, and Sanjay P. Bagaria
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Oncology ,medicine.medical_specialty ,Multivariate analysis ,medicine.medical_treatment ,Breast Neoplasms ,Disease ,Adenocarcinoma ,Breast cancer ,Internal medicine ,Internal Medicine ,medicine ,Adjuvant therapy ,Humans ,Mucinous carcinoma ,Breast ,Stage (cooking) ,Aged ,business.industry ,Cancer ,Prognosis ,medicine.disease ,Adenocarcinoma, Mucinous ,Chemotherapy, Adjuvant ,Female ,Surgery ,business ,Adjuvant - Abstract
Invasive tubular carcinoma (ITC) and invasive mucinous carcinoma (IMC) of the breast are rare histologic subtypes of breast cancer associated with favorable prognoses. The aim of our study was to investigate the outcomes for these rare subtypes using the National Cancer Database. Female patients diagnosed with ITC or IMC between 2005 and 2014 were analyzed. The primary outcome was overall survival (OS), and we analyzed its association with adjuvant therapy. 2735 patients with ITC and 5602 patients with IMC were identified. ITC presented in younger patients (57 vs. 67 years), had smaller tumors (size
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- 2021
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12. Clinicopathologic Characteristics and Prognosis of Invasive Papillary Carcinoma of the Breast
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Lara Appiah, M Emmanuel Gabriel, Ankita Mishra, Sanjay P. Bagaria, Subhasis Misra, and Kai Huang
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Adult ,Oncology ,medicine.medical_specialty ,medicine.medical_treatment ,Breast Neoplasms ,Disease ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,parasitic diseases ,medicine ,Recurrent disease ,Overall survival ,Humans ,Breast ,cardiovascular diseases ,Stage (cooking) ,skin and connective tissue diseases ,Aged ,Retrospective Studies ,Aged, 80 and over ,Chemotherapy ,business.industry ,Carcinoma, Ductal, Breast ,Middle Aged ,Prognosis ,Invasive ductal carcinoma ,Carcinoma, Papillary ,United States ,030220 oncology & carcinogenesis ,Invasive Papillary Breast Carcinoma ,Female ,030211 gastroenterology & hepatology ,Surgery ,Papillary carcinoma ,business - Abstract
Background Invasive papillary carcinoma (IPC) of the breast is thought to carry a more favorable prognosis than invasive ductal carcinoma (IDC). The aim of this study is to investigate the clinicopathological characteristics between IPC and IDC and their prognosis using a large nationwide data set. Methods Female patients diagnosed with malignant IPC and IDC between 2005 and 2014 were analyzed. Patients with incomplete survival data, stage 0/IV, unknown stage, or recurrent disease were excluded. Five-year overall survival was compared between IPC and IDC. Results Among 308,426 patients, 1147 had IPC and 307,279 had IDC. IPC presented more in older postmenopausal women, black Americans, and people who had government insurance. IPC had larger tumor size, lower-grade, and earlier-stage disease, less node-positive disease, higher hormone positivity, and lower human epidermal growth factor receptor 2 amplification. Adjuvant radiation and chemotherapy rates were lower in IPC than those in IDC. IPC had a similar 5-year overall survival as compared with IDC overall (86.8% versus 88.7%) (P = 0.06). Age, pathologic stage, and radiation treatment were shown to be independent prognostic factors of IPC. Conclusions IPC has a similar prognosis as IDC, suggesting that these patients should follow the same treatment protocols.
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- 2021
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13. Can We Innovatively Modify the Surgical Helmets to Protect Against the Droplets and Aerosols of COVID-19?
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Vaibhavi Rathod, Vaibhav Bagaria, and Dipit Sahu
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Aerosols ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,COVID-19 ,law.invention ,law ,Humans ,Medicine ,Particle ,Head Protective Devices ,Surgery ,Surgical education ,Respiratory Protective Devices ,business ,Filtration ,Biomedical engineering - Abstract
We tested the filtration efficiency of Stryker T5 surgical helmets with and without the addition of a filter medium. Two particle counters were used to count the particles of sizes .5 μm, 1 μm, and 5 μm, both inside and outside the Stryker T5 helmet, concurrently. The total inward leakage (TIL) for the helmet with and without the filter was zero for 5 μm particles at all time points. The TIL (3.4) for the .5 μm particles decreased significantly after application of the filter (1.7; P = .007). We recommend that an N95 should be used inside the helmet system.
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- 2021
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14. Analysis of Differentiation Changes and Outcomes at Time of First Recurrence of Retroperitoneal Liposarcoma by Transatlantic Australasian Retroperitoneal Sarcoma Working Group (TARPSWG)
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Robert J. Canter, Marco Fiore, Piotr Rutkowski, Sanjay P. Bagaria, Giovanni Grignani, Jean-Yves Blay, Antonino De Paoli, Francesco Barretta, Eberhard Stoeckle, Guy Lahat, Winan J. van Houdt, John T. Mullen, Rosalba Miceli, Nita Ahuja, Elisabetta Pennacchioli, Dario Callegaro, Alessandro Gronchi, Venu G. Pillarisetty, Chandrajit P. Raut, Dirk C. Strauss, Kenneth Cardona, Carol J. Swallow, Carolyn Nessim, Mark Fairweather, Vittorio Quagliuolo, Ricardo J. Gonzalez, and Yvonne Schrage
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medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,medicine.disease ,Gastroenterology ,Primary tumor ,Resection ,03 medical and health sciences ,0302 clinical medicine ,Oncology ,Surgical oncology ,030220 oncology & carcinogenesis ,Internal medicine ,medicine ,Retroperitoneal sarcoma ,030211 gastroenterology & hepatology ,Surgery ,Retroperitoneal liposarcoma ,Sarcoma ,business ,First Recurrence - Abstract
Local recurrence following resection of retroperitoneal liposarcoma (RLPS) is common. Well-differentiated (WD) and dedifferentiated (DD) RLPS are distinct entities with differing outcomes. A few reports suggest that WDLPS can recur as DDLPS and that DDLPS can recur as WDLPS. This study evaluates whether this change in differentiation from the primary tumor to the first local recurrence impacts long-term outcomes. Retrospective review from 22 sarcoma centers identified consecutive patients who underwent resection for a first locally recurrent RLPS from January 2002 to December 2011. Outcomes measured included overall survival, local recurrence, and distant metastasis. A total of 421 RPLS patients were identified. Of the 230 patients with primary DDLPS, 34 (15%) presented WDLPS upon recurrence (DD → WD); and of the 191 patients with primary WDLPS, 54 (28%) presented DDLPS upon recurrence (WD → DD). The 6-year overall survival probabilities (95% CI) for DD → DD, DD → WD, WD → WD, and WD → DD were 40% (32–48%), 73% (58–92%), 76% (68–85%), and 56% (43–73%) (p < 0.001), respectively. The 6-year second local recurrence incidence was 66% (59–73%), 63% (48–82%), 66% (57–76%), and 77% (66–90%), respectively. The 6-year distant metastasis incidence was 13% (9–19%), 3% (0.4–22%), 5% (2–11%), and 4% (1–16%), respectively. On multivariable analysis, DD → WD was associated with improved overall survival when compared with DD → DD (p < 0.001). Moreover, WD → DD was associated with a higher risk of LR (p = 0.025) A change in RLPS differentiation from primary tumor to first local recurrence appears to impact survival. These findings may be useful in counseling patients on their prognosis and subsequent management.
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- 2021
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15. Management of Blunt Solid Organ Injuries: the Indian Society for Trauma and Acute Care (ISTAC) Consensus Guidelines
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Pratyusha Priyadarshini, Kapil Dev Soni, Ajay Kumar, Niladri Banerjee, Sushma Sagar, Narendra Choudhary, Naveen Sharma, Shivanand Gammangatti, Peeyush Dhagat, Pawan Sharma, Gyan Saurabh, Mohit Kumar Joshi, Amita Jain, Dinesh Bagaria, Sunil Kumar, Rajesh Gupta, Satish Dharap, Samir Misra, Sandeep Kumar, Biplab Mishra, Shamita Chatterjee, Girish D. Bakhshi, Winston Noronha, Mallikarjun Gunjaganvi, Harshit Agarwal, Vikas Singh, Soumya Ghoshal, Sanjay Shah, Yogesh Meena, Rajashekar Mohan, Maneesh Singhal, Brijesh Sharma, Amulya Rattan, Vinod Jain, Megha Tandon, Richa Agarwal, Pramod Kumar Garg, Amit Kalangutkar, Abhinav Kumar, Subodh Kumar, Mahesh C Misra, Atin Kumar, Amit Gupta, L. N. Mohan, Sandeep Jain, Junaid Alam, and Vivek Kumar
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medicine.medical_specialty ,business.industry ,030230 surgery ,medicine.disease ,Trauma care ,03 medical and health sciences ,0302 clinical medicine ,Blunt ,Abdominal trauma ,030220 oncology & carcinogenesis ,Acute care ,Pediatric surgery ,Health care ,Medicine ,Surgery ,Solid organ ,Neurosurgery ,business ,Intensive care medicine - Abstract
Abdominal trauma management has seen a paradigm shift over the last few decades. There is wide variation in the treatment depending on the level of healthcare facilities available. With an aim to standardise the treatment of solid organ injuries in blunt abdominal trauma, Indian Society for Trauma and Acute Care (ISTAC®) formulated consensus guidelines to benefit doctors engaged in trauma care in the country.
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- 2021
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16. Early hospital discharge following non-operative management of blunt liver and splenic trauma: A pilot randomized controlled trial
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Narendra Choudhary, Richa Aggarwal, Kapil Dev Soni, Pratyusha Priyadarshini, Biplab Mishra, Mohit Kumar Joshi, Harshit Agarwal, Vijayan Purushothaman, Majid Anwer, Sushma Sagar, Abhinav Kumar, Vignesh Kumar, Subodh Kumar, Amit Gupta, and Dinesh Bagaria
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Adult ,Male ,medicine.medical_specialty ,Splenic trauma ,Pilot Projects ,Wounds, Nonpenetrating ,Asymptomatic ,Group B ,law.invention ,03 medical and health sciences ,Injury Severity Score ,0302 clinical medicine ,Blunt ,Randomized controlled trial ,law ,Hospital discharge ,medicine ,Humans ,Child ,Early discharge ,Retrospective Studies ,General Environmental Science ,Liver injury ,030222 orthopedics ,business.industry ,030208 emergency & critical care medicine ,medicine.disease ,Hospitals ,Patient Discharge ,Surgery ,Treatment Outcome ,Liver ,General Earth and Planetary Sciences ,Female ,medicine.symptom ,business ,Spleen - Abstract
Background Despite the acceptance of non-operative management (NOM), there is no consensus on the optimal length of hospital stay in patients with blunt liver and splenic injury (BLSI). Recent studies on pediatric patients have demonstrated the safety of early discharge following NOM for BLSI. We aimed at evaluating the feasibility and safety of early discharge in adult patients with BLSI following NOM in a randomized controlled trial. Materials and methods After initial assessment and management, patients aged 18–60 years with BLSI planned for NOM were randomized into 2 groups: Group A (test group; discharge day 3), and Group B (control group; discharge day 5). Standard NOM protocol was followed. These patients were discharged on the proposed day if they met the pre-defined discharge criteria. All patients were followed at days 7, 15, and 30 of discharge. Results Sixty patients were recruited, 30 randomized to each arm. Most patients were males and aged less than 30 years. Road traffic injury was the most common mode of injury. Both groups were comparable in demography and injury-related parameters. 27 patients (90%) from group A and 28 patients (93%) from group B were discharged on the proposed day. Three patients had unplanned hospital visits for reasons unrelated to BLSI. All patients were asymptomatic and had a normal examination during their scheduled follow-up visits. Conclusion Adult patients undergoing NOM for BLSI can be safely discharged after 48 h of in-hospital observation, provided other injuries precluding discharge do not exist.
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- 2021
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17. Postoperative Morbidity After Resection of Recurrent Retroperitoneal Sarcoma: A Report from the Transatlantic Australasian RPS Working Group (TARPSWG)
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Antonino De Paoli, Venu G. Pillarisetty, Kenneth Cardona, Mark Fairweather, Jean-Yves Blay, Guy Lahat, Carol J. Swallow, Dario Callegaro, Chandrajit P. Raut, Francesco Barretta, Alessandro Gronchi, Dirk C. Strauss, Nita Ahuja, Piotr Rutkowski, John T. Mullen, Elisabetta Pennacchioli, Winan J. van Houdt, Giovanni Grignani, Eberhard Stoeckle, Robert J. Canter, Vittorio Quagliuolo, Rosalba Miceli, Sanjay P. Bagaria, Yvonne Schrage, Carolyn Nessim, Marco Fiore, and Ricardo J. Gonzalez
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medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Mortality rate ,Perioperative ,Liposarcoma ,medicine.disease ,Surgery ,Resection ,03 medical and health sciences ,0302 clinical medicine ,Oncology ,Surgical oncology ,030220 oncology & carcinogenesis ,Medicine ,Retroperitoneal sarcoma ,030211 gastroenterology & hepatology ,Sarcoma ,business - Abstract
This study aimed to evaluate perioperative morbidity after surgery for first locally recurrent (LR1) retroperitoneal sarcoma (RPS). Data concerning the safety of resecting recurrent RPS are lacking. Data were collected on all patients undergoing resection of RPS-LR1 at 22 Trans-Atlantic Australasian Retroperitoneal Sarcoma Working Group (TARPSWG) centers from 2002 to 2011. Uni- and multivariable logistic models were fitted to study the association between major (Clavien-Dindo grade ≥ 3) complications and patient/surgery characteristics as well as outcome. The resected organ score, a method of standardizing the number of organs resected, as previously described by the TARPSWG, was used. The 681 patients in this study had a median age of 59 years, and 51.8% were female. The most common histologic subtype was de-differentiated liposarcoma (43%), the median resected organ score was 1, and 83.3% of the patients achieved an R0 or R1 resection. Major complications occurred for 16% of the patients, and the 90-day mortality rate was 0.4%. In the multivariable analysis, a transfusion requirement was found to be a significant predictor of major complications (p
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- 2021
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18. Improvising the surgical helmet system for aerosol-generating procedures in the OR: Surgeon designed 3D printed mould for augmented filtration system
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Dipit Sahu, Darshil Shah, Abhishek Kini, and Vaibhav Bagaria
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Aerosol filter ,030222 orthopedics ,3d print ,Engineering drawing ,3d printed ,business.industry ,covid 19 ,3D printing ,3d scanning ,Surgical helmet ,Article ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Personal protection equipment ,law ,Filter (video) ,Medicine ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Aerosol generating procedures ,business ,Filtration ,Filter material - Abstract
1. Background The aim of this paper is to describe the process of designing and developing a mould for filter placement via 3D printing on top of the surgical helmet. This mould was designed to affix a filter material on top of the helmet system for use during the COVID - 19 pandemic. 2. Method The authors performed 3D scanning of the Stryker Surgical helmet (Stryker T5, REF 400–610, US patents 6,973,677:7,753,682) and created a negative template of the top of the helmet. A mould for filter placement was printed and fitted onto the top of the surgical helmet. This construct was tested to evaluate the surgeon’s comfort, aerosol filtration efficiency etc. 3. Result The helmet provided adequate comfort, showed no evidence of staining on spill test and the filter passed the industry filtration efficiency standards. 4. Conclusion The 3D printed mould is an inexpensive, efficient, and comfortable design to augment personal protection ability of the Stryker helmet system. This process can be extrapolated to 3D print templates for other surgical helmets.
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- 2021
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19. Amelanotic melanoma of the head and neck: analysis of tumor characteristics from the National Cancer Database
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Humza Y. Saleem, Salam Al Kassis, Aaron Spaulding, Sanjay P. Bagaria, Xiaona Lu, Daniel Boczar, Antonio J. Forte, Galen Perdikis, and Maria T Huayllani
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medicine.medical_specialty ,Skin Neoplasms ,Databases, Factual ,Dermatology ,Gastroenterology ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Stage (cooking) ,Amelanotic melanoma ,Lymph node ,Aged ,Retrospective Studies ,Scalp ,business.industry ,Melanoma ,Cancer ,Melanoma, Amelanotic ,Odds ratio ,Prognosis ,medicine.disease ,medicine.anatomical_structure ,Head and Neck Neoplasms ,030220 oncology & carcinogenesis ,Cutaneous melanoma ,business - Abstract
Background Amelanotic melanoma is an extremely rare subtype of cutaneous melanoma. The tumor characteristics are still not well understood, especially for those located in the head and neck. Methods Tumor characteristics of patients diagnosed with amelanotic melanoma of the head and neck (AMHN) from January 1, 2004, to December 31, 2015, were analyzed by querying the National Cancer Database. Characteristics of AMHN were subsequently compared with common malignant melanoma of the head and neck (CMMHN). Results Three hundred and sixty-eight patients were diagnosed with AMHN, and 69,267 were diagnosed with CMMHN. Of those with AMHN, 128 (34.8%) had melanoma located on the scalp and neck, and 172 (46.7%) were diagnosed with an early disease stage (i.e., 0, I, or II). When compared with CMMHN, patients with AMHN were more likely to be diagnosed after 80 years of age (25.3% vs. 18.2%; odds ratio [OR], 3.28; 95% CI, 1.09-9.84; P = 0.03), when Breslow depth was between 2.01 and 4.00 mm (28.5% vs. 6.5%; OR, 1.92; 95% CI, 1.15-3.19; P = 0.01), when ulceration was present (36.7% vs. 9.0%; OR, 1.99; 95% CI, 1.34-2.97; P = 0.001), and when mitotic count was 1 or more/mm2 (40.5% vs. 12.8%; OR; 2.53; 95% CI, 1.09-5.89; P = 0.03). No statistical difference was found for sex, specific location, stage, or lymph node involvement. Conclusion Our study determined that AMHN is associated with older age, increased Breslow depth, presence of ulceration, and greater mitotic count when compared with CMMHN.
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- 2020
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20. Dynamic control of tumor vasculature improves antitumor responses in a regional model of melanoma
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Kristopher Attwood, Minhyung Kim, Daniel T. Fisher, Colin A. Powers, Joseph J. Skitzki, Emmanuel Gabriel, Sanjay P. Bagaria, and Keith L. Knutson
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0301 basic medicine ,Melphalan ,Intravital Microscopy ,Cancer therapy ,medicine.medical_treatment ,Melanoma, Experimental ,lcsh:Medicine ,Article ,03 medical and health sciences ,Mice ,Phenylephrine ,0302 clinical medicine ,Bolus (medicine) ,Cell Line, Tumor ,medicine ,Animals ,Adverse effect ,lcsh:Science ,Melanoma ,Chemotherapy ,Multidisciplinary ,business.industry ,lcsh:R ,Drug Synergism ,Blood flow ,medicine.disease ,Survival Analysis ,Xenograft Model Antitumor Assays ,Mice, Inbred C57BL ,030104 developmental biology ,Treatment Outcome ,Blood Circulation ,Cancer research ,Feasibility Studies ,Female ,Cancer imaging ,lcsh:Q ,Saline Solution ,business ,030217 neurology & neurosurgery ,Intravital microscopy ,medicine.drug - Abstract
Despite advances in therapy for melanoma, heterogeneous responses with limited durability represent a major gap in treatment outcomes. The purpose of this study was to determine whether alteration in tumor blood flow could augment drug delivery and improve antitumor responses in a regional model of melanoma. This approach to altering tumor blood flow was termed “dynamic control.” Dynamic control of tumor vessels in C57BL/6 mice bearing B16 melanoma was performed using volume expansion (saline bolus) followed by phenylephrine. Intravital microscopy (IVM) was used to observe changes directly in real time. Our approach restored blood flow in non-functional tumor vessels. It also resulted in increased chemotherapy (melphalan) activity, as measured by formation of DNA adducts. The combination of dynamic control and melphalan resulted in superior outcomes compared to melphalan alone (median time to event 40.0 vs 25.0 days, respectively, p = 0.041). Moreover, 25% (3/12) of the mice treated with the combination approach showed complete tumor response. Importantly, dynamic control plus melphalan did not result in increased adverse events. In summary, we showed that dynamic control was feasible, directly observable, and augmented antitumor responses in a regional model of melanoma. Early clinical trials to determine the translational feasibility of dynamic control are ongoing.
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- 2020
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21. Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA
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M.C. Liu, G.R. Oxnard, E.A. Klein, C. Swanton, M.V. Seiden, Minetta C. Liu, Geoffrey R. Oxnard, Eric A. Klein, David Smith, Donald Richards, Timothy J. Yeatman, Allen L. Cohn, Rosanna Lapham, Jessica Clement, Alexander S. Parker, Mohan K. Tummala, Kristi McIntyre, Mikkael A. Sekeres, Alan H. Bryce, Robert Siegel, Xuezhong Wang, David P. Cosgrove, Nadeem R. Abu-Rustum, Jonathan Trent, David D. Thiel, Carlos Becerra, Manish Agrawal, Lawrence E. Garbo, Jeffrey K. Giguere, Ross M. Michels, Ronald P. Harris, Stephen L. Richey, Timothy A. McCarthy, David M. Waterhouse, Fergus J. Couch, Sharon T. Wilks, Amy K. Krie, Rama Balaraman, Alvaro Restrepo, Michael W. Meshad, Kimberly Rieger-Christ, Travis Sullivan, Christine M. Lee, Daniel R. Greenwald, William Oh, Che-Kai Tsao, Neil Fleshner, Hagen F. Kennecke, Maged F. Khalil, David R. Spigel, Atisha P. Manhas, Brian K. Ulrich, Philip A. Kovoor, Christopher Stokoe, Jay G. Courtright, Habte A. Yimer, Timothy G. Larson, Charles Swanton, Michael V. Seiden, Steven R. Cummings, Farnaz Absalan, Gregory Alexander, Brian Allen, Hamed Amini, Alexander M. Aravanis, Siddhartha Bagaria, Leila Bazargan, John F. Beausang, Jennifer Berman, Craig Betts, Alexander Blocker, Joerg Bredno, Robert Calef, Gordon Cann, Jeremy Carter, Christopher Chang, Hemanshi Chawla, Xiaoji Chen, Tom C. Chien, Daniel Civello, Konstantin Davydov, Vasiliki Demas, Mohini Desai, Zhao Dong, Saniya Fayzullina, Alexander P. Fields, Darya Filippova, Peter Freese, Eric T. Fung, Sante Gnerre, Samuel Gross, Meredith Halks-Miller, Megan P. Hall, Anne-Renee Hartman, Chenlu Hou, Earl Hubbell, Nathan Hunkapiller, Karthik Jagadeesh, Arash Jamshidi, Roger Jiang, Byoungsok Jung, TaeHyung Kim, Richard D. Klausner, Kathryn N. Kurtzman, Mark Lee, Wendy Lin, Jafi Lipson, Hai Liu, Qinwen Liu, Margarita Lopatin, Tara Maddala, M. Cyrus Maher, Collin Melton, Andrea Mich, Shivani Nautiyal, Jonathan Newman, Joshua Newman, Virgil Nicula, Cosmos Nicolaou, Ongjen Nikolic, Wenying Pan, Shilpen Patel, Sarah A. Prins, Richard Rava, Neda Ronaghi, Onur Sakarya, Ravi Vijaya Satya, Jan Schellenberger, Eric Scott, Amy J. Sehnert, Rita Shaknovich, Avinash Shanmugam, K.C. Shashidhar, Ling Shen, Archana Shenoy, Seyedmehdi Shojaee, Pranav Singh, Kristan K. Steffen, Susan Tang, Jonathan M. Toung, Anton Valouev, Oliver Venn, Richard T. Williams, Tony Wu, Hui H. Xu, Christopher Yakym, Xiao Yang, Jessica Yecies, Alexander S. Yip, Jack Youngren, Jeanne Yue, Jingyang Zhang, Lily Zhang, Lori (Quan) Zhang, Nan Zhang, Christina Curtis, and Donald A. Berry
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0301 basic medicine ,medicine.medical_specialty ,Bisulfite sequencing ,Rectum ,Gastroenterology ,Article ,cell-free DNA ,03 medical and health sciences ,0302 clinical medicine ,Neoplasms ,Positron Emission Tomography Computed Tomography ,Internal medicine ,Biomarkers, Tumor ,medicine ,cancer ,Humans ,Mass Screening ,Prospective Studies ,Esophagus ,Early Detection of Cancer ,business.industry ,Stomach ,DNA, Neoplasm ,Hematology ,DNA Methylation ,Plasma cell neoplasm ,16. Peace & justice ,Anus ,Confidence interval ,3. Good health ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,Cell-free fetal DNA ,030220 oncology & carcinogenesis ,Feasibility Studies ,Female ,next-generation sequencing ,methylation ,business ,Cell-Free Nucleic Acids - Abstract
Background Early cancer detection could identify tumors at a time when outcomes are superior and treatment is less morbid. This prospective case-control sub-study (from NCT02889978 and NCT03085888) assessed the performance of targeted methylation analysis of circulating cell-free DNA (cfDNA) to detect and localize multiple cancer types across all stages at high specificity. Participants and methods The 6689 participants [2482 cancer (>50 cancer types), 4207 non-cancer] were divided into training and validation sets. Plasma cfDNA underwent bisulfite sequencing targeting a panel of >100 000 informative methylation regions. A classifier was developed and validated for cancer detection and tissue of origin (TOO) localization. Results Performance was consistent in training and validation sets. In validation, specificity was 99.3% [95% confidence interval (CI): 98.3% to 99.8%; 0.7% false-positive rate (FPR)]. Stage I–III sensitivity was 67.3% (CI: 60.7% to 73.3%) in a pre-specified set of 12 cancer types (anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach), which account for ∼63% of US cancer deaths annually, and was 43.9% (CI: 39.4% to 48.5%) in all cancer types. Detection increased with increasing stage: in the pre-specified cancer types sensitivity was 39% (CI: 27% to 52%) in stage I, 69% (CI: 56% to 80%) in stage II, 83% (CI: 75% to 90%) in stage III, and 92% (CI: 86% to 96%) in stage IV. In all cancer types sensitivity was 18% (CI: 13% to 25%) in stage I, 43% (CI: 35% to 51%) in stage II, 81% (CI: 73% to 87%) in stage III, and 93% (CI: 87% to 96%) in stage IV. TOO was predicted in 96% of samples with cancer-like signal; of those, the TOO localization was accurate in 93%. Conclusions cfDNA sequencing leveraging informative methylation patterns detected more than 50 cancer types across stages. Considering the potential value of early detection in deadly malignancies, further evaluation of this test is justified in prospective population-level studies.
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- 2020
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22. Early Surgery in Trauma Patients Is a Key Performance Indicator of Outcome—A Case Series Analysis
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Narendra Choudhary, Abhinav Kumar, Dinesh Bagaria, Pratyusha Priyadarshini, Santosh Mahindrakar, Biplab Mishra, Subodh Kumar, Amit Gupta, Sushma Sagar, and Ankita Sharma
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medicine.medical_specialty ,business.industry ,Trauma center ,Cardiac surgery ,03 medical and health sciences ,Plastic surgery ,0302 clinical medicine ,Interquartile range ,Cardiothoracic surgery ,030220 oncology & carcinogenesis ,Emergency medicine ,Pediatric surgery ,medicine ,030211 gastroenterology & hepatology ,Surgery ,Neurosurgery ,Presentation (obstetrics) ,business - Abstract
We analyzed one feasible timeline of critical surgery within the first hour of admission as a possible intervention, which could be applied in existing trauma systems in Low and middle-income countries (LMIC), and may improve trauma care outcomes. Retrospective analysis of a prospectively maintained data registry under project named TITCO (Towards Improved Trauma Care Outcome) was done at a level one trauma center in India from October 2013 to September 2015. All admitted patients who underwent critical surgery within the first hour of admission were analyzed. These patients were divided in two groups depending upon primary presentation or referred from other facility. Statistical analysis was done between these two groups to compare outcome. Sixty-one (57.6%) patients were directly admitted, whereas forty-five (42.4%) were transferred from other hospitals. The median time from injury to presentation for primary patients was 50 min with interquartile range (IQR) of 40. In referred patient median time gap between the injury to our center (not referring center) was 230 min with IQR of 350. This difference was statistically significant. Both the groups were comparable in terms of injury severity measured by ISS. Major outcome indicators in the form of median ICU and total stay, as well as mortality, were not significantly different. We propose that critical surgery within the first hour of presentation might be a useful hospital-based key performance indicator even in the existing trauma systems in LMIC to improve the outcome of injured patients.
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- 2020
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23. Train-Associated Injuries Pose a Significant Burden on Trauma Care Systems of Emerging Economies
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Niladri Banerjee, Narendra Choudhary, Dinesh Bagaria, Ravindra Mohan Pandey, Sushma Sagar, Biplab Mishra, Abhinav Kumar, Pratyusha Priyadarshini, Subodh Kumar, and Amit Gupta
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Adult ,Male ,medicine.medical_specialty ,Original Scientific Report ,Young Adult ,03 medical and health sciences ,Injury Severity Score ,0302 clinical medicine ,Trauma Centers ,medicine ,Humans ,Hospital Mortality ,Railroads ,Retrospective Studies ,business.industry ,Incidence (epidemiology) ,Head injury ,Trauma center ,Length of Stay ,Middle Aged ,Vascular surgery ,medicine.disease ,Trauma care ,Cardiac surgery ,Cardiothoracic surgery ,030220 oncology & carcinogenesis ,Emergency medicine ,Wounds and Injuries ,Female ,030211 gastroenterology & hepatology ,Surgery ,business ,Abdominal surgery - Abstract
Background The Indian railway system is the fourth largest in the world and causes about 15 deaths every day, due to intentional or unintentional reasons. This study presents a 5-year retrospective analysis of patients injured due to train-associated events, managed at a level-1 trauma center in India. Materials and methods Hospital-based trauma registry data of train-associated injuries presenting between 2012 and 2016 were analyzed. Data from 726 patients were analyzed for demographics, injury events, injury regions, their management and outcomes. ISS and NISS were used to quantify the injury severity. Results Mean age was 33 years, with male-to-female ratio 86 to 14%. The majority of patients (62%) were between 20–40 years. The median ISS was 9 (IQR 4–16), median hospital stays 11 days (IQR6-23), with in-hospital mortality of 17.4%. Presence of head injury; ISS > 9 and CPR in ED were independent risk factors of mortality. Trespassers on the rail track had significantly more severe injuries compared to passengers (Median ISS 13 vs. 9, p = 0.012; Median NISS 22 vs.17, p = 0.015); however, mortality and hospital length of stay were not significantly different. Location of injury event (on platform or tracks) showed no difference between the severity of injuries, mortality and hospital length of stay. Conclusions Current study reports comprehensive injury patterns and outcomes of train-associated injuries from a low- and middle-income country (LMIC). Apart from the mortality, there is a high incidence of permanent disabilities from extremity amputations. No significant difference was noted in the severity and outcomes among patients injured on or off train platforms, emphasizing the need for comprehensive safety measures including enforcement and promoting safe behavior not only on locations like train tracks but equally at platforms.
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- 2020
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24. Impact of COVID 19 lockdown on orthopaedic surgeons in India: A survey
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Tushar Agrawal, Vaibhav Bagaria, Vaibhavi Rathod, and Dipit Sahu
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Corona virus ,medicine.medical_specialty ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,media_common.quotation_subject ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Stress ,Return to work ,Article ,03 medical and health sciences ,0302 clinical medicine ,Lockdown ,medicine ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,media_common ,030222 orthopedics ,Government ,business.industry ,Evidence-based medicine ,Orthopaedic surgeon ,Feeling ,Family medicine ,Orthopedic surgery ,business ,COVID 19 - Abstract
Background In the fight against COVID 19, the government of India announced a 3 weeks lockdown of the entire country of 1.3 billion people on 24th March 2020. Methods One week after the lockdown was announced, we conducted an anonymous online survey of the orthopaedic surgeons in India through social media platforms to assess the impact of the lockdown during COVID 19. The survey had a total of 13 questions with (3–5) options and was designed with an aim to understand the perception and the state of mind of the Orthopaedic surgeons in the lockdown situation. Results The survey was completed by 611 orthopaedic surgeons from 140 cities in India. There were 22.5% orthopaedic surgeons who said that they were definitely stressed out, and 40.5% who said they were mildly stressed out. As the age decreased, the percentage of orthopaedic surgeons feeling “definitely stressed out” increased. Disruption of life-work balance and uncertainties regarding return to work were other strongly associated factors with the “definitely stressed out” group. Conclusion The psychological impact of the lockdown during COVID 19 on orthopaedic surgeons may become a potential concern that will require addressal through open discussion. Level of evidence diagnostic level 4.
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- 2020
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25. Age-Based Trends of Gastric Adenocarcinoma in the United States
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Enrique F. Elli, Kristopher Attwood, Sanjay P. Bagaria, Denslow A Trumbull, Emmanuel Gabriel, and Riccardo Lemini
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Adult ,Male ,Latin Americans ,Databases, Factual ,Adolescent ,Adenocarcinoma ,Gastric adenocarcinoma ,Young Adult ,03 medical and health sciences ,Age Distribution ,0302 clinical medicine ,Stomach Neoplasms ,medicine ,Humans ,Young adult ,Neoplasm Staging ,Aged ,Retrospective Studies ,business.industry ,Incidence (epidemiology) ,Incidence ,Age Factors ,Cancer ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,Survival Analysis ,United States ,030220 oncology & carcinogenesis ,Age distribution ,Female ,030211 gastroenterology & hepatology ,business ,Demography - Abstract
Background Recent studies have shown an increase in the incidence of gastric cancer (GC) among young adults in Asia and Latin America. However, it is unknown if a similar trend is happening in the United States. Methods A retrospective review of the National Cancer Database was conducted to identify patients diagnosed with gastric adenocarcinoma between the years of 2004 and 2013. Results A total of 93 734 patients were included. The two age groups below 40 did not see a change in GC incidence; however, age groups above 40 had increasing incidence. Patients aged 18 to 25 had the largest proportion of stage 4 disease and a poor survival (median 11.5 months), compared to older patients. Conclusion Despite the increasing trend of GC among individuals, the incidence of GC among young adults is not increasing. However, this subpopulation presents at more advanced stages (clinical stage 4) and thus has worse survival.
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- 2020
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26. Emergency and Urgent Orthopaedic Surgeries in non-covid patients during the COVID 19 pandemic: Perspective from India
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Kshitij Chaudhary, Arjun A. Dhawale, Vaibhav Bagaria, and Swapnil Keny
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medicine.medical_specialty ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Isolation (health care) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Surgical protocols ,Operating room design ,Article ,03 medical and health sciences ,0302 clinical medicine ,Orthopaedic surgeries ,Pandemic ,medicine ,Intensive care admission ,Orthopedics and Sports Medicine ,Adverse effect ,030222 orthopedics ,business.industry ,Covid 19 pandemic ,030229 sport sciences ,Urgent ,Emergency medicine ,Emergency ,Covid negative ,business ,Hospital stay - Abstract
Objectives To Evaluate the results and the protocols of our Institution for 18 Emergency and Urgent Non Covid Surgeries during the Covid 19 Pandemic Methods 18 patients underwent Emergency and Urgent Orthopaedic Surgeries at institution. The Protocol was Screening, Segregation, Selection, Isolation, theatre modification, and Online Follow. Results Two adverse events including, one death and one intensive care admission due to underlying morbidity were recorded. Average Hospital stay was 2.5 days with no patients becoming covid positive at follow up. Conclusion Strict Surgical protocols need to be followed for surgery during the Covid19 pandemic.
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- 2020
27. A Correlational study of Umbilical Venous Flow Rate and Mode of Delivery
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Anita Dhayal, Amit kumar Bagaria, Sunita Dhayal, Monika Bajiya, Amrita Kumari, and Asha Verma
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medicine.medical_specialty ,Mode of delivery ,Correlational study ,business.industry ,Internal medicine ,Cardiology ,Medicine ,General Medicine ,business ,Venous flow - Published
- 2020
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28. Robotic-Assisted Knee Arthroplasty (RAKA): The Technique, the Technology and the Transition
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Ajinkya Achalare, Ravi K. Bashyal, Murali Poduval, Omkar S. Sadigale, Vaibhav Bagaria, and Prashant Pawar
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030222 orthopedics ,business.industry ,Technological evolution ,Robotics ,Review Article ,030229 sport sciences ,03 medical and health sciences ,0302 clinical medicine ,Risk analysis (engineering) ,Paradigm shift ,Robot ,Medicine ,Orthopedics and Sports Medicine ,Augmented reality ,Robotic surgery ,Artificial intelligence ,business ,human activities ,Robotic arm ,Haptic technology - Abstract
BACKGROUND: There has been an exponential increase in knee arthroplasty over the past 20 years. This has led to a quest for improvement in outcomes and patient satisfaction. While the last decade of last century proved to be the decade for Computer-Assisted Surgery (CAS) or Computer Navigation wherein the technology demonstrated a clear benefit in terms of improving mechanical axis alignment and component positioning, this decade is likely to belong to Robotics. Robotics adds an independent dimension to the benefits that CAS offers. The article deals with the generation of robots, technical steps in robotics, advantages and downsides of robotics and way forward in the field of knee arthroplasty. MATERIALS AND METHODS: The review article was designed and edited by six different authors reviewing 32 relevant pubmed-based articles related to robotics in arthroplasty and orthopaedics. The concept, design and the definition of the intellectual content were based on the internationally published literature and insightful articles. The review is also based on the clinical experimental studies published in the literature. DISCUSSION: The robotic arm is actively involved with surgeon to achieve the precision and outcomes that the surgeon aims for. With the concept of haptic boundaries and augmented reality being incorporated in most systems, Robotic Assisted Arthroplasty (RAA) is likely to offer several advantages. The potential advantages of these systems may include accuracy in gap balancing, component positioning, minimal bone resection, reduced soft tissue handling and trauma, patient anatomy specific resection, and real time feedback. They, however, come with their own downsides in terms of capital cost, learning curve, time consumption and unclear advantages in term of long-term clinical outcomes. CONCLUSION: To conclude, this review article offers a balanced view on how the technology is impacting current arthroplasty practice and what can be expected in coming years. The commitment of almost all major implant manufacturers in investing in robotics likely means that the evolution of Robotic technology and this decade will be exciting with rapid strides revealing paradigm shift and evolution of technology with significant reductions of cost enabling it to be available universally. For technology to populate in operating room, I think it will be result of exposure of young surgeons to these computers and robotics, as they grow in with confidence with technology from residency days to offer better precision in future.
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- 2020
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29. National Analysis of Patients With Ulcerated Melanoma in the United States
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Daniel Boczar, Alexander S. Parker, Sanjay P. Bagaria, Xiaona Lu, Antonio J. Forte, Maria T Huayllani, David J. Restrepo, Aaron Spaulding, Andrea Sisti, and Oscar J. Manrique
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Adult ,Male ,Low income ,Cancer Research ,Adolescent ,Zip code ,Odds ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,In patient ,Child ,Melanoma ,Aged ,Aged, 80 and over ,business.industry ,Infant, Newborn ,Infant ,Cancer ,General Medicine ,Middle Aged ,medicine.disease ,Trunk ,United States ,Social Class ,Oncology ,Child, Preschool ,Population Surveillance ,030220 oncology & carcinogenesis ,Female ,Rural area ,business ,Demography - Abstract
BACKGROUND/AIM Ulceration is associated with unfavorable prognosis in patients with melanoma. The present study aimed to analyze the characteristics associated with ulcerated melanoma in the United States. It was hypothesized that patient disparities associated with increased odds of ulceration exist. PATIENTS AND METHODS We searched the National Cancer Database for melanoma patients from 2004 to 2015. Data regarding patient demographics, facility characteristics, and tumor characteristics were analyzed. RESULTS There were higher odds of ulceration in non-white patients, 50 years of age or older, and melanoma on the trunk and extremities. Lower odds were found in women, zip codes with higher income and education levels, and Metro or Urban counties. CONCLUSION Age above 49 years, male sex, non-white race, living in rural areas, and living in zip codes with low income and low education were independently associated with ulcerated melanoma.
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- 2020
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30. Residual Tumor on Wide Excisional Margins After Treatment of Invasive Melanoma
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Maria T Huayllani, Andrea Sisti, Antonio J. Forte, Brian D. Rinker, Jordan J. Cochuyt, Sanjay P. Bagaria, Aaron Spaulding, Emmanuel Gabriel, Daniel Boczar, and David J. Restrepo
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Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Neoplasm, Residual ,Multivariate analysis ,Comorbidity ,Residual ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,In patient ,Head and neck ,Melanoma ,Aged ,Aged, 80 and over ,business.industry ,Margins of Excision ,Cancer ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,Survival Analysis ,Oncology ,030220 oncology & carcinogenesis ,Female ,Radiology ,Invasive Melanoma ,Neoplasm Recurrence, Local ,business ,After treatment - Abstract
BACKGROUND/AIM The surgical management of invasive melanoma has been debated for many years and recommended excisional margins have been established. We aimed to describe the factors and survival related to the presence of residual tumor in patients with invasive melanoma lymph nodes negative. PATIENTS AND METHODS We performed a retrospective study by querying the National Cancer Database from 2004 to 2015. Associations were tested using a multivariate analysis. Overall survival was compared using the Kaplan-Meier method. RESULTS A total of 26,440 patients met the inclusion criteria. For Breslow depth groups ≤1 mm and >2 mm, older age and location in the head and neck were factors associated to residual tumor in margins (p
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- 2020
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31. Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics
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Avik Ghose, Murali Poduval, Vaibhav Bagaria, Aniruddha Sinha, and Sanjeev Manchanda
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Current time ,030222 orthopedics ,Root (linguistics) ,business.industry ,Emerging technologies ,Robotics ,030229 sport sciences ,Field (computer science) ,03 medical and health sciences ,0302 clinical medicine ,Surgical skills ,Medicine ,Orthopedics and Sports Medicine ,Narrative review ,Artificial intelligence ,Narrative Review ,business - Abstract
Orthopaedics as a surgical discipline requires a combination of good clinical acumen, good surgical skill, a reasonable physical strength and most of all, good understanding of technology. The last few decades have seen rapid adoption of new technologies into orthopaedic practice, power tools, new implants, CAD–CAM design, 3-D printing, additive manufacturing just to name a few. The new disruption in orthopaedics in the current time and era is undoubtedly the advent of artificial intelligence and robotics. As these technologies take root and innovative applications continue to be incorporated into the main-stream orthopedics, as we know it today, it is imperative to look at and understand the basics of artificial intelligence and what work is being done in the field today. This article takes the form of a loosely structured narrative review and will introduce the reader to key concepts in the field of artificial intelligence as well as some of the directions in application of the same in orthopaedics. Some of the recent work has been summarised and we present our viewpoint at the conclusion as to why we must consider artificial intelligence as a disrupting positive influence on orthopaedic surgery.
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- 2020
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32. Trends in utilization of sentinel node biopsy and adjuvant radiation in women ≥ 70
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Tamanie E. Yeager, Sanjay P. Bagaria, Kristin Partain, Jinny Gunn, Riccardo Lemini, Sarah A. McLaughlin, Emmanuel Gabriel, Kristopher Attwood, and Tariq Almerey
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medicine.medical_specialty ,Sentinel lymph node ,Breast Neoplasms ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Biopsy ,Internal Medicine ,medicine ,Humans ,Stage (cooking) ,Aged ,Neoplasm Staging ,Adjuvant radiotherapy ,medicine.diagnostic_test ,Sentinel Lymph Node Biopsy ,business.industry ,Cancer ,Sentinel node ,medicine.disease ,Oncology ,Lymphatic Metastasis ,030220 oncology & carcinogenesis ,Axilla ,Lymph Node Excision ,Female ,Surgery ,Lymph Nodes ,Radiology ,business ,Axillary staging - Abstract
Background and objectives Omission of routine axillary staging and adjuvant radiation (XRT) in women ≥ 70 years old with early stage, hormone receptor-positive, clinically node-negative breast cancer has been endorsed based on several landmark studies. We sought to determine how much omission of axillary staging/XRT has been adopted. Methods Using the National Cancer Data Base, we selected malignant breast cancer cases in women ≥ 70 with ER + tumors, ≤2 cm with clinically negative lymph nodes who underwent breast conservation and had known XRT status in 2005-2015. The use of sentinel lymph node biopsy (SNB) and XRT status was summarized by year to determine trends over time. Results In total, 57 230/69 982 patients underwent SNB. Of the 12 752 patients in whom SNB was omitted, 6296 were treated at comprehensive community cancer programs. Regarding XRT, 33 891/70 114 received adjuvant XRT. There were no significant trends with regards to patients receiving SNB or those receiving XRT. Conclusion Since 2005, there has been no change in SNB or XRT for early stage ER + breast tumors. However, there was a difference in omission of SNB based on facility type and setting. Future monitoring is needed to determine if these trends persist following the recently released Choosing Wisely® recommendations.
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- 2020
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33. Depressive symptoms, fatigue and social relationships influenced physical activity in frail older community-dwellers during the Spanish lockdown due to the COVID-19 pandemic
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Marco Inzitari, Fabricio Zambom-Ferraresi, Sonia Baró, Laura Mónica Pérez, Matteo Cesari, María B. Enfedaque, Joan Ars, Paula Espí-Valbé, Francisco Díaz-Gallego, Jordi Vilaró, Carmina Castellano-Tejedor, Luis Soto-Bagaria, Institut Català de la Salut, [Pérez LM, Soto-Bagaria L, Ars J] Parc Sanitari Pere Virgili, Area of Intermediate Care, Barcelona, Spain. RE-FiT Barcelona Research Group, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Parc Sanitari Pere Virgili, Barcelona, Spain. [Castellano-Tejedor C] Parc Sanitari Pere Virgili, Area of Intermediate Care, Barcelona, Spain. RE-FiT Barcelona Research Group, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Parc Sanitari Pere Virgili, Barcelona, Spain. Grup de Recerca GIES, Departament de Psicologia Bàsica, Universitat Autònoma de Barcelona, Bellaterra, Spain. [Cesari M] Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milano, Italy. Department of Clinical Sciences and Community Health, Università di Milano, Milano, Italy. [Zambom-Ferraresi F] Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra, Spain. [Baró S] RE-FiT Barcelona Research Group, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Parc Sanitari Pere Virgili, Barcelona, Spain. Primary Healthcare Center Larrard, Atenció Primària Parc Sanitari Pere Virgili, Barcelona, Spain. [Espí-Valbé P] RE-FiT Barcelona Research Group, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Parc Sanitari Pere Virgili, Barcelona, Spain. [Inzitari M] Parc Sanitari Pere Virgili, Area of Intermediate Care, Barcelona, Spain. RE-FiT Barcelona Research Group, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Parc Sanitari Pere Virgili, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain, and Vall d'Hebron Barcelona Hospital Campus
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Gerontology ,Male ,Aging ,Health, Toxicology and Mutagenesis ,Poison control ,lcsh:Medicine ,physical activity ,Environment and Public Health::Public Health::Disease Outbreaks::Epidemics::Pandemics [HEALTH CARE] ,Suicide prevention ,Occupational safety and health ,Persones grans ,0302 clinical medicine ,Epidemiology ,Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Movement::Motor Activity::Exercise [PHENOMENA AND PROCESSES] ,Medicine ,Pandèmia de COVID-19, 2020 ,030212 general & internal medicine ,Fatigue ,Frailty ,Depression ,Human factors and ergonomics ,Persons::Age Groups::Adult::Aged::Aged, 80 and over [NAMED GROUPS] ,ambiente y salud pública::salud pública::brotes de enfermedades::epidemias::pandemias [ATENCIÓN DE SALUD] ,fenómenos fisiológicos nerviosos y musculoesqueléticos::fenómenos fisiológicos musculoesqueléticos::movimiento::actividad motora::ejercicio físico [FENÓMENOS Y PROCESOS] ,Female ,Mental health ,personas::Grupos de Edad::adulto::anciano::ancianos de 80 o más años [DENOMINACIONES DE GRUPOS] ,mental health ,medicine.medical_specialty ,Frail Elderly ,Exercici ,frailty ,Article ,03 medical and health sciences ,Interpersonal relationship ,Injury prevention ,Humans ,Interpersonal Relations ,Exercise ,Geriatric Assessment ,Pandemics ,Aged ,business.industry ,Physical activity ,lcsh:R ,aging ,Public Health, Environmental and Occupational Health ,COVID-19 ,social relationships ,Spain ,Social relationships ,business ,030217 neurology & neurosurgery - Abstract
Due to the dramatic impact of the COVID-19 pandemic, Spain underwent a strict lockdown (March&ndash, May 2020). How the lockdown modified older adults&rsquo, physical activity (PA) has been poorly described. This research assesses the effect of the lockdown on PA levels and identifies predictors of sufficient/insufficient PA in frail older community-dwellers. Community-dwelling participants from the +À, GIL Barcelona frailty intervention program, suspended during the pandemic, underwent a phone-assessment during the lockdown. PA was measured before and after the lockdown using the Brief Physical Activity Assessment Tool (BPAAT). We included 98 frail older adults free of COVID-19 (mean age = 82.7 years, 66.3% women, mean Short Physical Performance Battery = 8.1 points). About one third of participants (32.2%) were not meeting sufficient PA levels at the end of the lockdown. Depressive symptoms (OR = 0.12, CI95% = 0.02&ndash, 0.55) and fatigue (OR = 0.11, CI95% = 0.03&ndash, 0.44) decreased the odds of maintaining sufficient PA, whereas maintaining social networks (OR = 5.07, CI95% = 1.60&ndash, 16.08) and reading (OR = 6.29, CI95% = 1.66&ndash, 23.90) increased it. Living alone was associated with the reduction of PA levels (b = &minus, 1.30, CI95% = &minus, 2.14&ndash, &minus, 0.46). In our sample, pre-lockdown mental health, frailty-related symptoms and social relationships were consistently associated with both PA levels during-lockdown and pre-post change. These data suggest considering specific plans to maintain PA levels in frail older community-dwellers.
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- 2021
34. Varus Knee Deformity Classification Based on Degree and Extra- or Intra-Articular Location of Coronal Deformity and Osteoarthritis Grade
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Javad Parvizi, Dipit Sahu, Omkar S. Sadigale, Rajiv V. Kulkarni, Emmanuel Thienpont, Vaibhav Bagaria, UCL - (SLuc) Service d'orthopédie et de traumatologie de l'appareil locomoteur, and UCL - SSS/IREC/NMSK - Neuro-musculo-skeletal Lab
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Orthodontics ,Varus deformity ,musculoskeletal diseases ,Knee Joint ,business.industry ,Radiography ,Osteoarthritis ,Osteoarthritis, Knee ,medicine.disease ,musculoskeletal system ,Intra articular ,Lower Extremity ,Coronal plane ,Deformity ,Medicine ,Humans ,Orthopedics and Sports Medicine ,Surgery ,Clinical significance ,Stage (cooking) ,medicine.symptom ,business ,Arthroplasty, Replacement, Knee - Abstract
BACKGROUND Medial coronal plane malalignment, also known as varus alignment, is commonly reported in osteoarthritic knees. Although the degree of deformity provides some insight regarding the severity of the disease, it does not always reflect the potential complexity of the surgical treatment. METHODS This prospective observational study was conducted by analyzing the radiographs of 100 consecutive knees in patients undergoing total knee arthroplasty. For each knee, coronal alignment, expressed as the hip-knee-ankle angle, was measured on a full-leg standing radiograph and classified in 3 stages. The primary location of the varus deformity was identified as intra-articular and/or extra-articular. Additionally, knees were evaluated to assess for 10 radiographic features of varus deformity and then classified in 3 grades of osteoarthritis severity. RESULTS The mean (and standard deviation) preoperative varus deformity was 11° ± 6° of varus (hip-knee-ankle, 169°), as measured on standardized full-leg radiographs. Extra-articular varus deformity was observed in 14% of patients. A higher number of radiographic features of varus severity corresponded with higher degrees of deformity. Varus grade correlated strongly with stage of varus deformity. Twenty-three (100%) of 23 stage-III deformities had grade-C features; however, 13 (48%) of 27 stage-I patients also had grade-C disease. CONCLUSIONS One of every 7 osteoarthritis patients with varus deformity had an extra-articular deformity, and 1 of 2 of these patients had severe intra-articular disease (grade C) despite limited coronal deformity (stage I). These findings reconfirm the need for individual deformity analysis that accounts for the degree, location, and severity of the varus deformity. This insight may help to formulate an algorithmic treatment approach specific to the epiphyseal knee anatomy of the patient and according to the surgical preferences of the surgeon. CLINICAL RELEVANCE Knee surgeons tend to consider knees with higher degrees of coronal deformity as more technically difficult, but the present study shows that knees with less deformity can still present with severe grades of osteoarthritis inside the knee, leading to more challenging joint reconstruction.
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- 2021
35. Enhanced recovery after surgery (ERAS) in patients undergoing emergency laparotomy after trauma: a prospective, randomized controlled trial
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Pratyusha Priyadarshini, Sushma Sagar, Narendra Choudhary, Vijayan Purushothaman, Purva Mathur, Dinesh Bagaria, Biplab Mishra, Mohit Kumar Joshi, Subodh Kumar, Amit Gupta, and Abhinav Kumar
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medicine.medical_specialty ,RD1-811 ,medicine.medical_treatment ,recovery of function ,Critical Care and Intensive Care Medicine ,law.invention ,Randomized controlled trial ,laparotomy ,law ,Laparotomy ,medicine ,Clinical endpoint ,In patient ,Trial registration ,Enhanced recovery after surgery ,business.industry ,RC86-88.9 ,World Trauma Congress article ,Medical emergencies. Critical care. Intensive care. First aid ,Evidence-based medicine ,Surgery ,Clinical trial ,emergency treatment ,business ,multiple trauma - Abstract
BackgroundThe role of enhanced recovery after surgery (ERAS) has been established in elective operations. However, its role in emergency operations especially in trauma is under-recognized. The aim of this study was to explore the safety and efficacy of ERAS program in patients undergoing emergency laparotomy for trauma.MethodsIn this single-center study, patients who underwent emergency laparotomy after trauma were randomized to the ERAS protocol or conventional care. The ERAS protocol included early removal of catheters, early initiation of diet, use of postoperative prophylaxis and optimal usage of analgesia. The primary endpoint was duration of hospital stay. The secondary endpoints were recovery of bowel function, pain scores, complications and readmission rate.ResultsThirty patients were enrolled in each arm. The ERAS group had significant reduction in duration of hospital stay (3.3±1.3 vs. 5.0±1.7; pConclusionERAS protocol, when implemented in patients undergoing laparotomy for trauma, has decreased duration of hospital stay with no additional complications.Level of evidenceLevel 1, randomized controlled trial, care management.Trial registration numberClinical Trials Registry of India (CTRI/2019/06/019533).
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- 2021
36. Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd
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Gabor, Attila, Tognetti, Marco, Driessen, Alice, Tanevski, Jovan, Guo, Baosen, Cao, Wencai, Shen, He, Yu, Thomas, Chung, Verena, Bodenmiller, Bernd, Saez‐Rodriguez, Julio, Prusokas, Augustinas, Prusokas, Alidivinas, Retkute, Renata, Rajasekar, Anand, Raman, Karthik, Sudhakar, Malvika, Rengaswamy, Raghunathan, Shih, Edward S.C., Kim, Min‐jeong, Cho, Changje, Kim, Dohyang, Oh, Hyeju, Hwang, Jinseub, Jongtae, Kim, Nam, Yeongeun, Yoon, Sanghoo, Kwon, Taeyong, Lee, Kyeongjun, Chaudhary, Sarika, Sharma, Nehal, Bande, Shreya, Cankut Cubuk, Gao Gao fan zhu, Gundogdu, Pelin, Dopazo, Joaquin, Rian, Kinza, Loucera, Carlos, Falco, Matias M, Garrido‐Rodriguez, Martin, Peña‐Chilet, Maria, Chen, Huiyuan, Turu, Gabor, Hunyadi, Laszlo, Misak, Adam, Zhou, Lisheng, Jiang, Xiaoqing, Zhang, Pieta, Rai, Aakansha, Kutum, Rintu, Rana, Sadhna, Srinivasan, Rajgopal, Pradhan, Swatantra, Li, James, Bajic, Vladimir, Van Neste, Christophe, Barradas‐bautista, Didier, Albarade, Somayah Abdullah, Nikolskiy, Igor, Sinkala, Musalula, Tran, Duc, Nguyen, Hung, Nguyen, Tin, Wu, Alexander, DeMeo, Benjamin, Hie, Brian, Singh, Rohit, Liu, Jiwei, Chen, Xueer, Saiz, Leonor, Vilar, Jose M. G, Qiu, Peng, Gosain, Akash, Dhall, Anjali, Bajaj, Dinesh, Kaur, Harpreet, Bagaria, Krishna, Chauhan, Mayank, Sharma, Neelam, Raghava, Gajendra, Patiyal, Sumeet, Hao, Jianye, Peng, Jiajie, Ning, Shangyi, Ma, Yi, Wei, Zhongyu, Aalto, Atte, Goncalves, Jorge, Mombaerts, Laurent, Dai, Xinnan, Zheng, Jie, Mundra, Piyushkumar, Xu, Fan, Wang, Jie, Kant Singh, Krishna, and Lee, Mingyu
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mass cytometry ,Medicine (General) ,Cell type ,Cell signaling ,QH301-705.5 ,Cell ,Breast Neoplasms ,Computational biology ,Biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Machine Learning ,R5-920 ,Breast cancer ,Breast cancer cell line ,medicine ,cell signaling ,Humans ,Mass cytometry ,Biology (General) ,Cancer ,General Immunology and Microbiology ,Applied Mathematics ,Computational Biology ,Proteins ,Articles ,medicine.disease ,single cell ,medicine.anatomical_structure ,Computational Theory and Mathematics ,crowdsourcing ,Female ,Signal transduction ,General Agricultural and Biological Sciences ,predictive modeling ,Signal Transduction ,Information Systems - Abstract
Recent technological developments allow us to measure the status of dozens of proteins in individual cells. This opens the way to understand the heterogeneity of complex multi‐signaling networks across cells and cell types, with important implications to understand and treat diseases such as cancer. These technologies are, however, limited to proteins for which antibodies are available and are fairly costly, making predictions of new markers and of existing markers under new conditions a valuable alternative. To assess our capacity to make such predictions and boost further methodological development, we organized the Single Cell Signaling in Breast Cancer DREAM challenge. We used a mass cytometry dataset, covering 36 markers in over 4,000 conditions totaling 80 million single cells across 67 breast cancer cell lines. Through four increasingly difficult subchallenges, the participants predicted missing markers, new conditions, and the time‐course response of single cells to stimuli in the presence and absence of kinase inhibitors. The challenge results show that despite the stochastic nature of signal transduction in single cells, the signaling events are tightly controlled and machine learning methods can accurately predict new experimental data., This study presents the results and conclusions of the ‘Single Cell Signaling in Breast Cancer DREAM challenge’, where teams were challenged to use state‐of‐the‐art methods for predicting single‐cell signaling from single‐cell and bulk proteomics, transcriptomics and genomics data.
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- 2021
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37. Photodynamic therapy – A novel and promising treatment for cancer
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Hemlata Sharma, Ashima Bagaria, and Nitesh Kumar Poddar
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010302 applied physics ,Alternative methods ,Chemotherapy ,business.industry ,medicine.medical_treatment ,Cancer ,Photodynamic therapy ,02 engineering and technology ,021001 nanoscience & nanotechnology ,medicine.disease ,01 natural sciences ,Cancer treatment ,Contact surfaces ,0103 physical sciences ,Cancer cell ,Cancer research ,Medicine ,Photosensitizer ,0210 nano-technology ,business - Abstract
The treatment of cancer commonly involves the procedure of tumour removal, chemotherapy and radiation, but these have many limitations. Cases where a tumour has metastasized, become impossible to save the person. In 30% of cases, resistance to therapies occurs, specifically metastatic tumour, thus creating a need for a novel way to destroy the cancerous cells without much harm to healthy cells in the vicinity. This technique involves photosensitizer, when it is provided with light of any particular wavelength in turn produces different reactive oxygen species that helps in getting rid of diseased or cancer cells. The major difference between PDT and traditional cancer treatment is Photosensitizer of which is very specific in reaching only the infected or diseased tissues, but it has drawbacks, in combination with nanoparticles (NPs), which could be prevented. The functionalized NPs should be small size and large contact surfaces which allow for them to be internalized by cellular membranes. PDT is an alternative method in oncology.
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- 2021
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38. Roof arc width: The novel calculation method for calculation of patient specific roof arc width in acetabular fractures
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Darshil Shah, Vaibhav Bagaria, Pathik Shah, Prashant Pawar, and Lokesh Gudda Naik
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business.industry ,Radiography ,Acetabular fracture ,Geometry ,Radius ,medicine.disease ,Acetabulum ,Article ,Arc (geometry) ,medicine ,Fracture (geology) ,Orthopedics and Sports Medicine ,Electronic data ,business ,Roof - Abstract
Purpose Roof arc angle (RAA) is determined by measuring angle between a vertical line drawn from center of the acetabulum towards the acetabular dome and a second line drawn from center of acetabulum to the fracture through the acetabulum. Joel and Matta demonstrated that when roof arc angle was less than 45° on Pelvic AP and Judet's views, the fracture line is considered to be passing through the weight-bearing dome and require surgical fixation. The main purpose of the study is to calculate patient-specific angle and width for the better evaluation and management of acetabular fractures. Methods Radiographs of normal hips were retrieved from electronic data and parameters were calculated. Two observers calculated the parameters at two different intervals. Pearson correlation formula was used to find a correlation between groups. Results Fifty radiographs of 28 patients were reviewed. The mean age of patients was 75.58 years ±13.28. The radius of the acetabulum, the radiographic measurement of sector width for 45° angulation at the roof, and the mathematical calculation for roof arc for 45° angle had significant positive correlation for both observers at two different occasions. Conclusions The measured roof arc width ranges from a minimum of 16.20 mm–31.50 mm and the calculated arc width for a 45-degree angle varies from a minimum of 15 mm–25.56 mm. These values are higher than the described values of 10 mm equals to 45 degrees. Hence, the values measured in this study should be considered for decision making in the management of acetabular fractures.
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- 2021
39. Drug Induced Orthodontic Tooth Movement: A Comprehensive Review
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Dr.Yesh Sharma, Ishika Verma, Sagar S Bhat, Jasmine Marwaha, Dr.Shalini Sharma, and Anmol Bagaria
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Orthodontics ,Drug ,business.industry ,Tooth movement ,media_common.quotation_subject ,Medicine ,business ,media_common - Published
- 2019
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40. National Analysis of Patients With External Ear Melanoma in the United States
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Maria T Huayllani, Daniel Boczar, Sanjay P. Bagaria, Jeremie D. Oliver, Emmanuel Gabriel, Brian Rinker, Aaron Spaulding, Andrea Sisti, Antonio J. Forte, and David J. Restrepo
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Male ,medicine.medical_specialty ,Medicare ,Logistic regression ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Statistical significance ,Tumor stage ,medicine ,Humans ,Ear, External ,030223 otorhinolaryngology ,Head and neck ,Melanoma ,Ear Neoplasms ,Aged ,business.industry ,Confounding ,030206 dentistry ,General Medicine ,Odds ratio ,medicine.disease ,United States ,Independent factor ,Otorhinolaryngology ,Female ,Surgery ,business - Abstract
BACKGROUND External ear melanoma (EEM) is a rare condition with controversies in the literature. We analyzed patients with EEM in the United States compared to other head and neck melanomas (OHNMs). METHODS The National Cancer Database (NCDB) was used to select patients with head and neck melanoma from January 1, 2004 to December 31, 2015. Mann-Whitney and χ tests were used to estimate statistical significance, and multivariate logistic regression to identify independent associations adjusted for confounders. RESULTS A total of 137,233 patients met the study criteria. Among them, 16,991 (12.4%) had EEM and 120,242 (87.6%) had OHNM. For patients with EEM, the mean (standard deviation) age was 66.26 (15.798) years. Most of the patients with EEM were men (85.5%), insured by Medicare (52.4%), and treated in Academic/Research Programs (47.7%) or Comprehensive Community Cancer Programs (32.3%). Most of the EEM tumors had invasive behavior (68.0%) were Stages 0 (30.3%) or I (40.3%), and were without ulceration (76.9%). Mean time to receive any treatment was 14.1 days for EEM compared with 14.6 days for OHNM (P
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- 2019
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41. Eyelid Melanoma in the United States
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David J. Restrepo, Sanjay P. Bagaria, Maria T Huayllani, Emmanuel Gabriel, Andrea Sisti, Jeremie D. Oliver, Daniel Boczar, Brian Rinker, Aaron Spaulding, and Antonio J. Forte
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Male ,medicine.medical_specialty ,Skin Neoplasms ,Databases, Factual ,Database analysis ,Time to treatment ,Autopsy ,Medicare ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Stage (cooking) ,030223 otorhinolaryngology ,Melanoma ,Aged ,Aged, 80 and over ,business.industry ,Cancer ,030206 dentistry ,General Medicine ,Odds ratio ,Middle Aged ,Prognosis ,medicine.disease ,United States ,Otorhinolaryngology ,Female ,Surgery ,Eyelid Melanoma ,business - Abstract
BACKGROUND Eyelid melanoma (EM) is a rare condition that accounts for
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- 2019
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42. Sexual dimorphism in the incidence of human cancers
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Jeremy A. Vold, Daoshan Zheng, Denise M. Harnois, Sarah A. McLaughlin, Zhaoyu Li, Sanjay P. Bagaria, Justyna Trynda, Cecilia Williams, and Justin H. Nguyen
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0301 basic medicine ,Male ,Cancer Research ,Global Health ,History, 21st Century ,lcsh:RC254-282 ,03 medical and health sciences ,Sexual dimorphism ,0302 clinical medicine ,Sex Factors ,Surgical oncology ,Neoplasms ,Genetics ,medicine ,Humans ,Thyroid cancer ,Sweden ,Human cancers ,business.industry ,Incidence (epidemiology) ,Incidence ,Cancer ,History, 20th Century ,medicine.disease ,Precision medicine ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,United States ,3. Good health ,Cancer registry ,030104 developmental biology ,Oncology ,Cancer incidence ,030220 oncology & carcinogenesis ,Population Surveillance ,Female ,business ,Demography ,SEER Program ,Research Article - Abstract
Background Sex differences in the incidences of cancers become a critical issue in both cancer research and the development of precision medicine. However, details in these differences have not been well reported. We provide a comprehensive analysis of sexual dimorphism in human cancers. Methods We analyzed four sets of cancer incidence data from the SEER (USA, 1975–2015), from the Cancer Registry at Mayo Clinic (1970–2015), from Sweden (1970–2015), and from the World Cancer Report in 2012. Results We found that all human cancers had statistically significant sexual dimorphism with male dominance in the United States and mostly significant in the Mayo Clinic, Sweden, and the world data, except for thyroid cancer, which is female-dominant. Conclusions Sexual dimorphism is a clear but mostly neglected phenotype for most human cancers regarding the clinical practice of cancer. We expect that our study will facilitate the mechanistic studies of sexual dimorphism in human cancers. We believe that fully addressing the mechanisms of sexual dimorphism in human cancers will greatly benefit current development of individualized precision medicine beginning from the sex-specific diagnosis, prognosis, and treatment. Electronic supplementary material The online version of this article (10.1186/s12885-019-5902-z) contains supplementary material, which is available to authorized users.
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- 2019
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43. Common distribution patterns of marsupials related to physiographical diversity in Venezuela.
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Jacint Ventura, Guillem Bagaria, Maria Assumpció Sans-Fuentes, and Roger Pérez-Hernández
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Medicine ,Science - Abstract
The aim of this study is to identify significant biotic regions (groups of areas with similar biotas) and biotic elements (groups of taxa with similar distributions) for the marsupial fauna in a part of northern South America using physiographical areas as Operational Geographical Units (OGUs). We considered Venezuela a good model to elucidate this issue because of its high diversity in landscapes and the relatively vast amount of information available on the geographical distribution of marsupial species. Based on the presence-absence of 33 species in 15 physiographical sub-regions (OGUs) we identified Operational Biogeographical Units (OBUs) and chorotypes using a quantitative analysis that tested statistical significance of the resulting groups. Altitudinal and/or climatic trends in the OBUs and chorotypes were studied using a redundancy analysis. The classification method revealed four OBUs. Strong biotic boundaries separated: i) the xerophytic zone of the Continental coast (OBU I); ii) the sub-regions north of the Orinoco River (OBU III and IV); and those south to the river (OBU II). Eleven chorotypes were identified, four of which included a single species with a restricted geographic distribution. As for the other chorotypes, three main common distribution patterns have been inferred: i) species from the Llanos and/or distributed south of the Orinoco River; ii) species exclusively from the Andes; and iii) species that either occur exclusively north of the Orinoco River or that show a wide distribution throughout Venezuela. Mean altitude, evapotranspiration and precipitation of the driest month, and temperature range allowed us to characterize environmentally most of the OBUs and chorotypes obtained.
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- 2014
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44. Wildervanck syndrome – a review of the 'triad' and its variations
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Manu L. Subraya, Amit Kumar Bagaria, Mridula Singh, Vaibhav Mathur, and Arvind Vyas
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Psychiatry and Mental health ,Clinical Psychology ,Wildervanck syndrome ,Triad (sociology) ,business.industry ,Medicine ,Neurology (clinical) ,Anatomy ,business ,medicine.disease - Published
- 2021
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45. Massive parietal defect with multiple enteroatmospheric fistulae after thermal injury abdomen in a metal industry accident: Case report of a rare survivor
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Harshit Agarwal, Supreet Kaur, Dinesh Bagaria, and Mohit Kumar Joshi
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Enterocutaneous fistula ,Thermal injury ,business.industry ,Abdominal wall defect ,Metallurgy ,Public Health, Environmental and Occupational Health ,medicine.disease ,Infectious Diseases ,medicine.anatomical_structure ,Accidents ,Abdomen ,Intestinal Fistula ,Medicine ,Humans ,Rolling mill ,Survivors ,business ,Burns - Abstract
In industrial foundries, raw metal is heated almost up to its melting point and then passed through the rolling mill to mould it into a desired shape. Contact with hot machinery or the hot metal can cause severe deep burns. When such thermal injury involves the abdominal wall, complex bowel injury can occur, leading to life-threatening abdominal sepsis. We report successful management of a patient with abdominal wall defect and multiple open fistulae. Severe thermal injury of the anterior abdominal wall may be associated with latent bowel injuries and abdominal compartment syndrome. A low threshold for surgery and re-look surgery may prevent complications.
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- 2021
46. Key Performance Indicators: Satisfying Quest for Quality
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Dinesh Bagaria and Amit Gupta
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business.industry ,media_common.quotation_subject ,Medicine ,Surgery ,Quality (business) ,Performance indicator ,Environmental economics ,business ,media_common - Published
- 2021
47. Quantifying Procedural Pain Associated with Office Gynecologic Tract Sampling Methods
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Maureen A. Lemens, Shannon K. Laughlin-Tommaso, Matthew R. Hopkins, Nicolas Wentzensen, Lois J. Mc Guire, Mark E. Sherman, Jamie N. Bakkum-Gamez, Amy L. Weaver, Emily Shields, Lisa J. Ahlberg, Megan A. Clarke, Madhu Bagaria, and A.L. VanOosten
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0301 basic medicine ,medicine.medical_specialty ,Visual analogue scale ,Biopsy ,Cytodiagnosis ,Pain, Procedural ,Article ,03 medical and health sciences ,Endometrium ,0302 clinical medicine ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Menstrual Hygiene Products ,medicine.diagnostic_test ,business.industry ,Vaginal delivery ,Obstetrics ,Endometrial cancer ,Obstetrics and Gynecology ,Sampling (statistics) ,Middle Aged ,medicine.disease ,Endometrial Neoplasms ,Procedural Pain ,030104 developmental biology ,Oncology ,POSTMENOPAUSAL BLEEDING ,030220 oncology & carcinogenesis ,Female ,business ,Endometrial biopsy - Abstract
OBJECTIVE: Emerging technologies may enable detection of endometrial cancer with methods that are less invasive than standard biopsy methods. This study compares patient pain scores among 3 office gynecologic tract sampling methods and explores their potential determinants. METHODS: A prospective study including 3 sampling methods (tampon, Tao brush (TB), endometrial biopsy (EB)) was conducted between December 2015 and August 2017 and included women ≥45 years of age presenting with abnormal uterine bleeding, postmenopausal bleeding, or thickened endometrial stripe. Patients rated pain after each sampling procedure using a 100-point visual analog scale (VAS). RESULTS: Of 428 enrolled, 190 (44.39%) patients underwent all 3 sampling methods and reported a VAS score for each. Nearly half were postmenopausal (n=93, 48.9%); the majority were parous (172, 90.5%) of which 87.8% had at least one vaginal delivery. Among the 190 patients, the median (IQR) pain score was significantly lower for sampling via tampon (0 [0, 2]) compared to TB (28 [12, 52]) or EB (32 [15, 60]) (both p
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- 2021
48. Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19
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Raju Vaishya and Vaibhav Bagaria
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0301 basic medicine ,Research Report ,2019-20 coronavirus outbreak ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Endocrinology, Diabetes and Metabolism ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,medicine.medical_treatment ,Disease ,Scientific literature ,030204 cardiovascular system & hematology ,Targeted therapy ,03 medical and health sciences ,0302 clinical medicine ,Internal Medicine ,medicine ,Humans ,Intensive care medicine ,Publishing ,business.industry ,SARS-CoV-2 ,COVID-19 ,General Medicine ,030104 developmental biology ,business ,Healthcare providers ,Healthcare system - Abstract
As COVID 19 continues to over burden the healthcare system globally, the scientists are relentlessly pursuing research and publishing copious data on relevant managements strategies for the infection. This short communication has attempted to simplify the available information on the subject in a manner that is easy to understand and implement in clinical setting. COVID 19 is not a single disease but a spectrum and should be classified based on clinical, radiological and laboratory parameters. A simple yet powerful way is to classify COVID 19 as COVIN - COVID Infection but no disease; COVIRI - COVID infection with predominant respiratory symptoms; COVIDI - COVID infection leading to an abnormal immune response and COVID S- referring to the sequalae of an acute COVID Infection. A clinical subtype specific approach may result in easier communication between healthcare providers which in turn may improve patient outcomes by providing targeted therapy.
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- 2021
49. Usual and Unusual Musculoskeletal Sequalae of COVID 19!
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Vaibhav Bagaria
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myalgia ,musculoskeletal diseases ,030222 orthopedics ,medicine.medical_specialty ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Public health ,030229 sport sciences ,Septic joint ,Joint infections ,03 medical and health sciences ,0302 clinical medicine ,Orthopedic surgery ,medicine ,Orthopedics and Sports Medicine ,Elective surgery ,medicine.symptom ,Intensive care medicine ,business ,Letter to the Editor - Abstract
Today the orthopedic world with respect to COVID remains focused on resumption of elective surgery and impact of the pandemic on scientific activities. However, it is equally important that we keep our eyes on the phenomenon that is quietly unraveling in front of the eyes. The phenomenon of post-COVID musculoskeletal sequelae may become a major orthopedic public health problem in coming months and needs to be investigated in depth. The usual post-COVID symptoms include arthralgia and myalgia that are common in many viral diseases. It is the unusual symptoms like occurrence of primary septic joint infection and elevated rates of post-operative infections that warrant attention and further investigation. Could this be attributed to immune consumption leading to a phase of temporary immunosuppression is a matter of speculation and hypothesizing. A short communication here reveals a glimpse of musculoskeletal sequalae that COVID may bring in coming months. These could be usual arthralgia or myalgia which are self-limiting but could also be more sinister like spontaneous osteonecrosis and primary joint infections.
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- 2021
50. Disclosure slide at the Society of Surgical Oncology Annual Symposium-Is there room for improvement?
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Sanjay P. Bagaria and Mike Sabel
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medicine.medical_specialty ,Surgical Oncology ,Oncology ,business.industry ,Surgical oncology ,Medicine ,Humans ,Surgery ,Medical physics ,General Medicine ,Disclosure ,Congresses as Topic ,business - Published
- 2021
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